38 Data Scientists jobs in Miami
P&C Associate Director - Data Science/Predictive Modeling/Advanced Analytics
Posted today
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Job Description
Do you want to be at the forefront of insurance industry innovation and leadership? Do you want to partner with insurers across North America to help deliver cutting-edge capabilities across their organizations? Do you want to work with the original Insurtech, driving performance improvement through our technology? If so, this might be the opportunity for you!
WTW is looking for an experienced P&C data scientist in the North American market with predictive modeling and advanced analytics experience to join as a Property & Casualty (P&C) Associate Director in our Insurance Consulting and Technology (ICT) practice. In this role, you will collaborate with our team of pricing, portfolio management, underwriting, finance and claims experts to design and implement cutting-edge solutions to challenges faced by the top insurers.
ICT provides a powerful combination of advisory services for insurance companies, integrated with leading-edge technology solutions and software, all underpinned by unparalleled analytical capability. WTW has ambitious growth plans for our North America P&C propositions. Our goal is to substantially increase our footprint as we advise our insurance clients, with analytics and data science being a clear enabler of transformation throughout their organizations.
This position can be based in a major North American market and is open to remote/virtual work.
Note that visa employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.
**The Responsibilities**
+ Develop integrated consulting and technology solutions for our clients
+ Combine extensive knowledge of data science market practice in an insurance context and innovation to build robust analytics processes that deliver insights to decision makers at the point of decision making
+ Develop and implement data strategies for clients
+ Design, build, test and run data science processes for clients
+ Design data science technology infrastructures for clients' analytical and operational functions
+ Build effective predictive models, analytical tools and processes using a wide range of analytical and data science techniques
+ Meet billable hour target and revenue goals, operating as a highly respected and effective consultant
+ Prepare proposals and presentations leveraging marketing resources, practice groups, subject matter experts and client relationship managers for existing clients
+ Serve as a mentor and project manager to more junior colleagues, training them on both the technical and theoretical aspects of insurance as well as project delivery methods
+ Contribute to the development of WTW's intellectual capital and future proposition development, including go-to-market strategy
**Qualifications**
**The Requirements**
+ At least 5 years P&C insurance experience
+ At least 3 years predictive modeling experience
+ Experience working on a data science or analytics team at an insurance company or consulting firm
+ Strong analytical skills including ability to draw conclusions and identify trends from data in a logical, systematic way
+ Solid experience with data manipulation
+ An understanding of machine learning and statistical theory
+ An understanding of how to utilize technology to optimize outcomes within an organization
+ Awareness of main data enrichment sources and open source data assets most valuable to insurance companies
+ Awareness of Insurtech activities in this space
+ Capable of leveraging past experience and expertise to adapt to current projects and challenges outside of core skill set
+ Comfortable navigating ambiguity and developing innovative solutions
+ Committed to training and mentoring less experienced colleagues
+ Practiced in managing complex projects and delegating work to senior and junior colleagues
+ Available to travel as needed
**Nice to Haves**
+ Experience with Radar software
+ Experience leading or participating on actuarial or underwriting transformation projects
+ Knowledge of North American insurance marketplace and carriers
+ Professional designation such as CSPA or ACAS
**This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified.**
**Compensation and Benefits**
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).
**Compensation**
The base salary compensation range being offered for this role is $150,000 - $230,000 USD per year. This role is also eligible for an annual short-term incentive bonus.
**Company Benefits**
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):
+ **Health and Welfare Benefits:** Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
+ **Leave Benefits:** Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off ( **Retirement Benefits:** Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.
_Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records._
At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a "hybrid" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and "hybrid" is not a one-size-fits-all solution.
We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.
**EOE, including disability/vets**
MAST Data Reporting & Analysis Sr. Manager
Posted today
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Job Description
The MAST Reporting & Analysis Sr. Manager is responsible for setting up and managing the global MAST Program, a data analysis team to support benefits realization, gain a deeper level of understanding into the asset, HESS and other operational performance on board MAST vessels and communicate recommendations to improve from these learnings to management.
This role will need to build, lead, and manage a supporting data team around a coordinated global maritime data strategy that centralizes all MAST data sets that are currently siloed across multiple teams. The hired person will need to anticipate business needs and showcase the power of organized data by connecting operational data sources to identify leading indicators and monitor business performance.
Essential Functions:
Lead and mentor a team of professionals, fostering a culture of collaboration, innovation, and continuous learning. Provide guidance and support to enhance team members' skills and capabilities.
Responsible for the planning, execution, and oversight of Power BI initiatives within the MAST team. This role will work with stakeholders to understand business needs, build and create dashboards, and ensure the successful delivery of data reporting for leadership.
Support the creation and maintaining of data sets allowing MAST team to analyze asset performance data (for maintenance strategy) and Inventory Data (spare part consumption and replenishment strategy)
Lead the implementation and optimization of Snowflake as a centralized cloud data platform for MAST reports including: Collaborate with IT and data engineering teams to ensure Snowflake architecture aligns with reporting needs, and develop and enforce data governance, security, and performance best practices within Snowflake to support scalable analytics.
Analyze planned maintenance data, trends, and reporting to develop and establish performance metrics / KPIs and provide data to leadership for executive presentations.
Plans, implements, and evaluates improvements in business processes and practices to enhance the effectiveness and efficiency of the MAST program.
Conduct reviews on a monthly and quarterly basis to prepare reporting packages for MAST and Brand leadership.
Compiles and tracks improvement project data and reports on status of projects and processes.
Engage with multiple stakeholders and workstream leads to gather reporting and analytics requirements, prioritize incoming requests, and manage a reporting pipeline aligned with business priorities.
Performs other duties as assigned
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
Minimum 8 years of experience in data visualization, data analysis, and business intelligence
Deep technical understanding of Snowflake architecture and Power BI capabilities.
Proven experience in:
o Executive-level reporting and presentations
o Data modeling and performance optimization
strong working knowledge of:
o Oracle database systems
o SQL, Snowflake, Power BI, and Microsoft Office 365 * MBA
o Background in the maritime industry or related operational systems is a plus
o AMOS planned maintenance system (strong plus, not mandatory) null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to
MAST Data Reporting & Analysis Sr. Manager
Posted today
Job Viewed
Job Description
This role will need to build, lead, and manage a supporting data team around a coordinated global maritime data strategy that centralizes all MAST data sets that are currently siloed across multiple teams. The hired person will need to anticipate business needs and showcase the power of organized data by connecting operational data sources to identify leading indicators and monitor business performance.
**Essential Functions:**
+ Lead and mentor a team of professionals, fostering a culture of collaboration, innovation, and continuous learning. Provide guidance and support to enhance team members' skills and capabilities.
+ Responsible for the planning, execution, and oversight of Power BI initiatives within the MAST team. This role will work with stakeholders to understand business needs, build and create dashboards, and ensure the successful delivery of data reporting for leadership.
+ Support the creation and maintaining of data sets allowing MAST team to analyze asset performance data (for maintenance strategy) and Inventory Data (spare part consumption and replenishment strategy)
+ Lead the implementation and optimization of Snowflake as a centralized cloud data platform for MAST reports including: Collaborate with IT and data engineering teams to ensure Snowflake architecture aligns with reporting needs, and develop and enforce data governance, security, and performance best practices within Snowflake to support scalable analytics.
+ Analyze planned maintenance data, trends, and reporting to develop and establish performance metrics / KPI's and provide data to leadership for executive presentations.
+ Plans, implements, and evaluates improvements in business processes and practices to enhance the effectiveness and efficiency of the MAST program.
+ Conduct reviews on a monthly and quarterly basis to prepare reporting packages for MAST and Brand leadership.
+ Compiles and tracks improvement project data and reports on status of projects and processes.
+ Engage with multiple stakeholders and workstream leads to gather reporting and analytics requirements, prioritize incoming requests, and manage a reporting pipeline aligned with business priorities.
+ Performs other duties as assigned
**Qualifications:**
+ Bachelor Degree, MBA would be a plus.
+ Minimum 8 years of experience in data visualization, data analysis, and business intelligence
+ Proven experience in:
+ Executive-level reporting and presentations
+ Data modeling and performance optimization
+ Background in the maritime industry or related operational systems is a plus
**Knowledge, Skills, and Abilities:**
+ Deep technical understanding of Snowflake architecture and Power BI capabilities.
+ Strong analytical and problem-solving skills with exceptional attention to detail.
+ Excellent written, verbal, and visual communication skills.
+ Demonstrated ability to manage stakeholder relationships and prioritize competing demands.
+ Ability to translate technical data into clear, actionable business insights.
+ Comfortable working in a fast-paced, cross-functional, and global environment
+ Strong working knowledge of:
+ AMOS planned maintenance system (strong plus, not mandatory)
+ Oracle database systems
+ SQL, Snowflake, Power BI, and Microsoft Office 365
Physical Demands: Work primarily in a climate-controlled environment with minimal safety/health hazard potential.
Travel: Less than 25% with shipboard travel likely
Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential.
This position is classified as "in-office." As an in-office role, it requires employees to work from a designated Carnival office in South Florida Tuesday through Thursday each week. Employees may work from their homes on Mondays and Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area.
Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience.
At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival's discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including:
+ Health Benefits:
+ Cost-effective medical, dental and vision plans
+ Employee Assistance Program and other mental health resources
+ Additional programs include company paid term life insurance and disability coverage
+ Financial Benefits:
+ 401(k) plan that includes a company match
+ Employee Stock Purchase plan
+ Paid Time Off
+ Holidays - All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays to be taken at the employee's discretion.
+ Vacation Time - All full-time employees at the manager and below level start with 14 days/year; director and above level start with 19 days/year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year. All employees gain additional vacation time with further tenure.
+ Sick Time - All full-time employees receive 80 hours of sick time each year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 60 hours each year.
+ Other Benefits
+ Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends
+ Personal and professional learning and development re
#LI-Hybrid
#Corp
#LI-EJ1
About Us
Carnival Corporation & plc is the world's largest leisure travel company, our mission to deliver unforgettable happiness to our guest through our diverse portfolio of leading cruise brands and island destinations, including Carnival Cruise Line, Holland America Line, Princess Cruises, and Seabourn in North America and Australia; P&O Cruises and Cunard Line in the United Kingdom; AIDA in Germany; Costa Cruises in Southern Europe.
Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a global community that makes a difference.
In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.
Carnival Corporation & plc and Carnival Cruise Line is an equal employment opportunity/affirmative action employer. In this regard, it does not discriminate against any qualified individual on the basis of sex, race, color, national origin, religion, sexual orientation, age, marital status, mental, physical or sensory disability, or any other classification protected by applicable local, state, federal, and/or international law.
Machine Learning Engineer
Posted today
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Job Description
The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.
Key Responsibilities:
+ Design, develop, and optimize machine learning models and algorithms for real-world applications.
+ Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.
+ Deploy, monitor, and maintain machine learning models in production environments.
+ Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
+ Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.
+ Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.
+ Document processes, methodologies, and results for reproducibility and knowledge sharing.
+ Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.
Requirements
+ Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related fields (or equivalent experience).
+ Strong programming skills in Python (preferred) or similar languages.
+ Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
+ Solid understanding of ML algorithms, including supervised, unsupervised, and deep learning methods.
+ Experience with data preprocessing, feature engineering, and model optimization techniques.
+ Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).
+ Familiarity with big data tools like Spark, Hadoop, or equivalent.
+ Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML solutions.
+ Excellent problem-solving and communication skills.
Preferred Qualifications:
+ Experience with Natural Language Processing (NLP) or Computer Vision techniques.
+ Knowledge of reinforcement learning, generative AI, or large language models (LLMs).
+ Familiarity with database systems (SQL, NoSQL) and data warehousing tools.
+ Exposure to version control systems (e.g., Git) and CI/CD pipelines for model development.
+ Relevant certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer Certificate).
Technology Doesn't Change the World, People Do.®
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Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .
Senior Machine Learning Engineer
Posted 3 days ago
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Job Description
Haystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning Engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the world.
Join our team at Haystack News as a Senior Machine Learning Engineer and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced machine learning and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.
Basic Qualifications:
- 5+ year professional experience with at least 3 years building large-scale recommender systems (for news feeds, shopping, image, music, video, ads, etc)
- Track record of shipping models to real-world applications and making an impact
- Experience building and deploying online ML algorithms (e.g. contextual bandits)
- Master's degree in Computer Science, Mathematics, Electrical Engineering, Statistics, or Operation Research
- Proficient in programming in Python. Additional programming experience in Java, JavaScript, or C++ is a plus.
- Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow
- Familiarity with common machine learning algorithms, such as GBDT, XGBoost, Random Forest, Logistic Regression.
- Experience with SQL (e.g. postgres, snowflake, etc)
Preferred Qualifications:
- 2+ years of applied research experience (including research work during PhD)
- Experience working with LLMs, Semantic Search and text embeddings (e.g. BERT)
- Work cross-functionally to translate business problems into ones that can be solved using machine learning.
- Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
- Develop machine learning models to make recommendations and influence the product roadmap.
- Work with other team members to develop key metrics to achieve business outcomes.
- Be a champion of AB testing. Design, execute, and analyze experiments to prove product change attribution.
Responsibilities:
Machine Learning Engineer - Senior
Posted 28 days ago
Job Viewed
Job Description
Join to apply for the Machine Learning Engineer - Senior role at CACI International Inc Join to apply for the Machine Learning Engineer - Senior role at CACI International Inc Get AI-powered advice on this job and more exclusive features. Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity CACI is seeking a highly experienced Senior Machine Learning Engineer to support U.S. Southern Command (USSOUTHCOM) in Doral, Florida. This position is contingent upon award of the USSOUTHCOM Cyber Information Technology Enterprise Services (SCITES) contract. Responsibilities Develop and justify the performance of algorithms that implement novel, network-based image processing capabilities. Perform extensive detailed modeling and simulation, including quantifying the relative impact of candidate solution architectures. Supervise development of standalone applications and/or major software subsystems and components while adhering to software best practices. Develop detailed technical plans with tasks, schedule, and labor estimates. Create automated tests to rigorously test and evaluate algorithms and software capabilities. Works with Project Managers to establish objectives for AI systems Analyze data gathered during tests to identify strengths and weaknesses and implement changes to algorithms to improve performance Troubleshoots and addresses problems with deployed AI to improve warfighter experience Documents all steps in the development process Remains up to date on the latest innovations in machine learning Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers Work with models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Utilize massive datasets to develop both generic models as well as fine tune models for specific products Build scalable ML platform to automate our ML service Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization Qualifications Required: US Citizen with active Secret level clearance Bachelor’s degree in information technology, Computer Science, or related field 5-8 years of relevant experience in related field One or more certifications: Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty, Databricks Certified Machine Learning Professional, GIAC Machine Learning Engineer (GMLE), IBM Machine Learning Professional, or Microsoft Certified Azure Data Scientist Associate Possesses and applies expertise on multiple complex work assignments while supporting multiple projects Operates with appreciable latitude in developing methodology and presenting solutions to problems Strong analytical and problem-solving skills Experience with change management tools and ITSM platforms (ServiceNow) Agile methodology knowledge and experience Must be able to work independently with limited government oversight and function effectively as part of a team in a joint working environment Desired Experience in a large, distributed IT enterprise Knowledge of DevOps practices and principles Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Working knowledge of tools, methods, and concepts of portals and other real or near real time knowledge management systems Deep understanding of data science and software engineering ___ What You Can Expect A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ___ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The Proposed Salary Range For This Position Is $98,500-$06,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at CACI International Inc by 2x Get notified about new Machine Learning Engineer jobs in Doral, FL . Miami-Fort Lauderdale Area 165,000.00- 175,000.00 4 days ago Weston, FL 88,700.00- 127,500.00 1 week ago Miami, FL 170,000.00- 185,000.00 2 days ago Miami, FL 180,000.00- 250,000.00 1 week ago Miami, FL 77,100.00- 206,820.00 1 week ago Miami, FL 155,000.00- 213,200.00 1 week ago Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA) Miramar, FL 112,597.33- 152,810.66 1 month ago Miami, FL 112,597.33- 152,810.66 1 month ago Fort Lauderdale, FL 60.00- 70.00 1 day ago Full-Stack Developer & Data Visualization Engineer Software Engineer, Devices - United States Miami, FL 144,768.00- 209,109.33 1 month ago Miramar, FL 144,768.00- 209,109.33 1 month ago Doral, FL 114,600.00- 252,100.00 1 month ago Miami, FL 110,000.00- 140,000.00 19 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Machine Learning Engineer - Senior
Posted today
Job Viewed
Job Description
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
* * *
**The Opportunity:**
CACI is seeking a highly experienced Senior Machine Learning Engineer to support U.S. Southern Command (USSOUTHCOM) in Doral, Florida. This position is contingent upon award of the USSOUTHCOM Cyber Information Technology Enterprise Services (SCITES) contract.
**Responsibilities:**
+ Develop and justify the performance of algorithms that implement novel, network-based image processing capabilities.
+ Perform extensive detailed modeling and simulation, including quantifying the relative impact of candidate solution architectures.
+ Supervise development of standalone applications and/or major software subsystems and components while adhering to software best practices.
+ Develop detailed technical plans with tasks, schedule, and labor estimates.
+ Create automated tests to rigorously test and evaluate algorithms and software capabilities.
+ Works with Project Managers to establish objectives for AI systems
+ Analyze data gathered during tests to identify strengths and weaknesses and implement changes to algorithms to improve performance
+ Troubleshoots and addresses problems with deployed AI to improve warfighter experience
+ Documents all steps in the development process
+ Remains up to date on the latest innovations in machine learning
+ Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
+ Work with models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics
+ Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
+ Utilize massive datasets to develop both generic models as well as fine tune models for specific products
+ Build scalable ML platform to automate our ML service
+ Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization
**Qualifications:**
_Required:_
+ US Citizen with active Secret level clearance
+ Bachelor's degree in information technology, Computer Science, or related field
+ 5-8 years of relevant experience in related field
+ One or more certifications: Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty, Databricks Certified Machine Learning Professional, GIAC Machine Learning Engineer (GMLE), IBM Machine Learning Professional, or Microsoft Certified Azure Data Scientist Associate
+ Possesses and applies expertise on multiple complex work assignments while supporting multiple projects
+ Operates with appreciable latitude in developing methodology and presenting solutions to problems
+ Strong analytical and problem-solving skills
+ Experience with change management tools and ITSM platforms (ServiceNow)
+ Agile methodology knowledge and experience
+ Must be able to work independently with limited government oversight and function effectively as part of a team in a joint working environment
_Desired:_
+ Experience in a large, distributed IT enterprise
+ Knowledge of DevOps practices and principles
+ Understanding of data structures, data modeling and software architecture
+ Deep knowledge of math, probability, statistics, and algorithms
+ Ability to write robust code in Python, Java and R
+ Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
+ Working knowledge of tools, methods, and concepts of portals and other real or near real time knowledge management systems
+ Deep understanding of data science and software engineering
-
**___**
**What You Can Expect:**
**A culture of integrity.**
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
**An environment of trust.**
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
**A focus on continuous growth.**
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
**Your potential is limitless.** So is ours.
Learn more about CACI here. ( Range** : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here ( .
The proposed salary range for this position is:
$98,500-$206,800
_CACI is_ _an Equal Opportunity Employer._ _All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any_ _other protected characteristic._
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Machine Learning Engineer (Miami)
Posted 1 day ago
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Role Summary
As a ML/Research Engineer at Citadel Securities, you will work closely with researchers to design and build the next generation library for deep learning within the firm. You will combine the best available open-source tools with deep internal expertise in modelling and predicting financial markets. Your work will empower 100+ researchers to iterate faster on their agenda and perform experiments that were not possible before.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
Objectives
- Grow/maintain internal library for deep learning.
- Work with researchers to understand their needs and add new functionality.
- Work with HPC experts to optimize the largest existing workflows and deliver training speed improvements and cost savings.
- Stay up to date with external innovations and tools and make them available for internal use as appropriate.
Skills and Preferred Qualifications
- 2+ years of experience in machine learning and software development.
- Strong engineering skills, including Python, CUDA, C++.
- Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).
Senior Machine Learning Engineer, NLP
Posted 18 days ago
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Job Description
AI or Artificial Intelligence, Cloud & AI (DCN & Compute), Services & Software, Software Development, Webex (Collaboration) Job Id: 1435420 The application window is expected to close on: April 14, 2025. Meet the Team Cisco Webex is the world's #1 business collaboration and customer engagement platform, used across all industries to support governments, businesses, education, and more, including use by 85% of Fortune 500 companies. The workplace of the future will be powered by AI, and we, Collaboration AI, are responsible for building AI/ML intelligent experiences within Cisco’s Webex portfolio. Our team focuses on various AI fronts to enrich collaboration use cases, including audio codec technologies, automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP), and computer vision (CV). We aim to build next-generation AI solutions in collaboration software, devices, and APIs, enhancing distributed team efficiency and improving all aspects of people connection. What You’ll Do As a Senior Machine Learning Engineer on the Collaboration AI team, you will innovate NLP/LLM solutions for Webex products. Your responsibilities include, but are not limited to: Explore and implement next-gen LLM technologies, focusing on retrieval-augmented generation (RAG), AI agents, and agentic workflows. Fast prototype innovative concepts and create viable paths to production. Conduct applied ML research, establish benchmarking methods, evaluate against baselines, perform ablation studies, and deliver actionable recommendations. Balance technical trade-offs to determine optimal production solutions. Collaborate with system engineers, product managers, and client teams to drive productization. Level up the team's AI/ML savviness as an AI knowledge catalyst. Who You’ll Work With You’ll join a small, high-caliber team of ML specialists, NLP, Speech, and CV practitioners, product gurus, and world-class designers. We adapt quickly, continuously improve, and deliver high-impact results. Minimum Requirements M.S. or Ph.D. in Computer Science, Mathematics, or a related field. 5+ years of experience with Natural Language Processing. 2+ years of experience implementing LLM technologies, systems, and applications. Proficiency with deep learning frameworks (e.g., PyTorch, JAX, Keras, TensorFlow) and production Python programming skills. Preferred Requirements Proven experience deploying NLP/LLM solutions in production environments. Strong judgment to assess practical value versus industry hype. Demonstrated persistence in problem-solving complex challenges. Deep intellectual curiosity in emerging AI technologies. Engineering mentality at heart. Research contributions in NLP (publications, patents, presentations) are a plus. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Message to applicants applying to work in the U.S. and/or Canada: When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including skillset, experience, and relevant education. Sign up to receive notifications of similar jobs #J-18808-Ljbffr
Senior Engineer, Machine Learning Operations
Posted 28 days ago
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Job Description
Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world. The Royal Caribbean Group’s Machine Learning Engineering team has an exciting career opportunity for a full-time Senior Machine Learning / ML Operations Engineer reporting to the Manager of Machine Learning Engineering. This position will work on-site in Miami, Florida but is open to work on-site in Miramar, FL as well. Position Summary The Machine Learning/ MLOps Engineering team at Royal Caribbean Group is responsible for the successful implementation and iteration of AI/ML solutions including providing architectural guidance and development support. Some of our focus areas include developing reusable frameworks, code optimization and refactoring, scaling up ML solutions, and foreseeing and testing for common issues that may arise in production. We are looking for a highly capable Senior Machine Learning/ MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects. Essential Duties and Responsibilities Build, maintain, and document machine learning frameworks (python packages) used across multiple projects. Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers. Develop reusable feature stores for rules-based and AI/ML models. Implement monitoring capabilities for model performance and effectiveness in production. Automate CI/CD testing and deployments incorporating MLOps best practices. Perform other duties as required. Preferred Qualifications Master’s or PhD degree in computer science, data science, mathematics, or a related field. Experience with sensor data or other noisy data types. Experience with Agile Software Development. Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences/statistics highly desired. Familiarity with frameworks and languages designed for big-data analytics, including Spark and Azure Data Factory. Experience with MLOps and ML experiment tracking tools, such as Azure DevOps and MLFlow or similar. Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform. Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. Minimum Qualifications, Knowledge, and Skills Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field. 5+ years of overall experience in Data Analytics. 3+ years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement. Sharp critical thinking skills and ability to learn and question complex processes and solutions. Experience building scalable machine learning systems and data-driven products working with cross-functional teams. Experience creating python packages. Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages. Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). Proficiency in SQL. Good communication skills and the ability to understand and synthesize requirements across multiple project domains. We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon! It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment. #J-18808-Ljbffr