61,514 IT Data jobs in the United States
Senior Data Engineer - Data Science

Posted 2 days ago
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Job Description
LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.
We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Responsibilities
+ Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
+ Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
+ Perform all of the necessary data transformations to serve products that empower data-driven decision making.
+ Build and manage data pipelines, design and architect databases.
+ Establish efficient design and programming patterns for engineers as well as for non-technical partners.
+ Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
+ Ensure best practices and standards in our data ecosystem are shared across teams.
+ Understand the analytical objectives to make logical recommendations and drive informed actions.
+ Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
+ Be a self-starter, Initiate and drive projects to completion with minimal guidance.
+ Contribute to engineering innovations that fuel LinkedIn's vision and mission.
Basic Qualifications
+ Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
+ 3+ years of relevant industry or relevant academia experience working with large amounts of data
+ Experience with SQL/Relational databases
+ Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
Preferred Qualifications
+ BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data
+ MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
+ Experience in developing data pipelines using Spark and Hive.
+ Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
+ Experience with using distributed data systems such as Spark and related technologies (Presto/Trino, Hive, etc.).
+ Experience with either data workflows/modeling, front-end engineering, or back-end engineering.
+ Deep understanding of technical and functional designs for relational and MPP Databases
+ Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, streamlit, D3, and other libraries, etc.
+ Knowledge of Unix and Unix-like systems, version control systems such as Git.
Suggested Skills
+ Distributed Systems
+ ETL
+ Data Modeling
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Opportunity Statement**
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
+ Documents in alternate formats or read aloud to you
+ Having interviews in an accessible location
+ Being accompanied by a service dog
+ Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
**San Francisco Fair Chance Ordinance **
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
**Pay Transparency Policy Statement **
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
Data Engineer III - Data Science

Posted 2 days ago
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Job Description
Location:
Boise, ID, US,
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
**Summary**
This role applies an advanced level of subject matter knowledge to solve a variety of common and complex business issues. Works on problems/projects of diverse complexity and scope, which may require in-depth evaluation of multiple data and technology disciplines. Utilizes professional concepts and theoretical knowledge acquired through specialized training, education or previous experience. Exercises independent judgment within general to broadly defined parameters or practices to determine appropriate action. Develops expertise and practical knowledge of applications within business environment. May act as a project leader providing expertise or direction for solution development. Handles most unique situations independently and has awareness of when to seek advice to make decisions on complex business or technical issues. Acts as an informed team member by providing information, analysis and recommendations in support of team efforts. Evaluates unique circumstances and makes recommendations. Provides mentoring and guidance to team members with less experience. Frequently represents the organization to external customers / clients.
Robust data from a wide variety of sources are essential to the Data Science team to create long-term differential business value. We are looking for a Data Engineer who is excited about building and supporting data pipelines in our cloud environment.
**Why This Role is Exciting**
+ _Work with Leading Tools_ : Get hands-on experience with Azure Data Factory and Databricks for data processing. Source and structure raw information to help data scientists solve complex business problems.
+ _Expand Your Expertise_ : Grow your knowledge in high-demand areas like DevOps automation, cloud platforms, and advanced data analytics.
+ _Join an Innovative Team_ : The Data Science team has delivered innovations recognized across the company and is poised to deliver more.
**Key Responsibilities**
+ Participates as a member of a data engineering team; mentors and guides other engineers.
+ Maintains and optimizes data platform performance, ensuring reliability and efficiency across development and production environments.
+ Collaborates with data scientists to deploy, monitor, and optimize machine learning models and applications.
+ Performs analysis of technical requirements of high complexity.
+ Designs and develops solutions of high complexity.
+ Completes technical work individually or through/with other data engineers.
+ Leads design and outcome reviews.
+ Designs, prepares, and executes manual and/or automated test plans and scripts.
+ Applies in-depth or broad technical knowledge of data engineering to provide maintenance and support of solutions across multiple areas.
+ Represents team to leadership, business, and technical partners.
+ Demonstrates technical leadership and exerts influence beyond immediate team.
+ Develops innovative architectural solutions to complex problems.
+ Integrates technical expertise and business understanding to create superior solutions for company and customers.
+ Manages work completed by Vendors for specific initiatives.
**Typical Education**
Bachelor's Degree (B.A. or B.S.) from 4 year college or university
**Relevant Experience**
+ 5+ years minimum related experience and/or training
+ Advanced understanding of data engineering, filling the role of Subject Matter Expert (SME), and owning issue escalations of the highest complexity.
+ Proficient in one or more programming languages such as Python or SQL.
+ Experience with Azure DevOps, Databricks, SQL, and Data Modeling.
+ Strong verbal and written communication skills, contributing to team design activities and documentation.
+ Can apply critical thinking skills to solving problems and a strong technical aptitude.
+ Experience in data collection from sensors and monitoring systems installed on industrial machinery within a manufacturing facility is ideal but not required.
+ Experience delivering data solutions through agile software development methodologies is ideal but not required.
+ Experience with scalable ML infrastructure and model lifecycle management within environments like Posit Workbench is ideal but not required.
**Required Certifications**
**Other Information**
**Job Requisition ID** : 23765
**Travel Required** :
**Location(s)** : Simplot Headquarters - Boise
**Country:** United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***
Data Science Engineer
Posted 4 days ago
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Job Description
Summary:
The main function of an OBD Certification Data Science Engineer is to support the development and maintenance of certification-related tools and processes. They assist in new programmatic solutions, data handling, and data analysis to improve company workflows
Job Responsibilities:
- Conduct testing and data analysis in the areas of Emissions & OBD, investigate and identify issues, determine root causes, and discuss within a team environment.
- Learn the emissions and OBD certification activities and identify additional areas within the team where the candidate can effectively contribute value.
- Establish opportunities within the OBD Certification for automation.
- Perform analysis of conducted testing in respective areas and create reports for internal and external stakeholders (including CARB)
- Create data pipeline relevant for agency reporting and analysis.
- Develop custom tools and drive automation efforts to improve testing, analysis, and reporting efficiency
- Present results and findings to upper management and other important stakeholders
- Contribute to the team's new initiative of software change management
- Support collaboration with global headquarters, R&D departments, and cross-functional teams.
- Contribute to initiatives involving data science, machine learning, and business intelligence for OBD and emissions performance feedback.
- Build, maintain, and manage Power BI dashboards to visualize emissions, OBD, and certification data for internal stakeholders and management.
Requirements:
- Education: Bachelor of Science in Computer Science, Data Science, or related field (or equivalent 3-5 years of related experience).
- Detail-oriented mindset and strong project coordination skills required.
- Comprehensive knowledge and experience of CARB OBD2 regulations
- Proficiency in Python and related libraries for automation, data processing, and workflow optimization.
- Experience with data acquisition and analysis tools (INCA, MATLAB).
- Experience with PowerBI, Tableau, or other data visualization tools.
- Experience with business intelligence and data analytics tools.
- Knowledge of data science methods, including machine learning, data visualization, prediction, and modeling.
- Ability to author and present clear and concise technical reports for a wide, global audience detailing findings, recommendations and solutions.
- Design custom tools to optimize data mining, cleaning, and validation.
- Ability to collaborate and work well with a team is extremely important.
Pay Transparency: The typical base pay for this role across the U.S. is: 65.00 - 66.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi's use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
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Data Science/Data Architect
Posted 3 days ago
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Job Description
Job Description:
The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services.
Responsibilities:
- Set up R Studio Workbench, Connect, and Package Manager on a Linux server.
- Manage libraries and versions.
- Write required security plan.
- Work with security to connect the server to Snowflake and other data sources.
- Provision server access to data scientists, including R Studio Server, sftp, and command line.
- Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny.
- Guide data scientists on how to use version control with GIT/Azure Devops.
- Resource must have at least three (3) years of experience in providing services as listed.
#J-18808-Ljbffr
Data-Science
Posted 3 days ago
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Job Description
Nextracker is the leading provider of intelligent solar tracking systems, offering advanced solutions that optimize the performance and reliability of utility-scale solar power plants around the world. Our technology enables maximum energy yield, grid resilience, and operational efficiency-supporting a more sustainable energy future.
Key Responsibilities:
- Assist in the development and evaluation of machine learning models for image-based object detection and tracking.
- Preprocess and annotate image datasets for training and validation.
- Implement and fine-tune deep learning architectures (e.g., CNNs, YOLO, Faster R-CNN) for real-time image recognition tasks.
- Collaborate on model deployment pipelines using tools such as TensorFlow Serving, ONNX, or Docker.
- Analyze model performance and contribute to iterative improvements.
- Document findings, experiments, and best practices.
- Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Strong foundation in Python and machine learning libraries (e.g., TensorFlow, PyTorch, OpenCV).
- Familiarity with image processing techniques and computer vision concepts.
- Experience with version control (Git) and cloud platforms (AWS, GCP, or Azure) is a plus.
- Excellent problem-solving skills and a collaborative mindset.
The hourly rate for this position is $45-50/hr
At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.
For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.
Nextracker is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Culture is our Passion
Data Science
Posted 3 days ago
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Job Description
Volt is immediately hiring for Data Science Engineer in Falls Church, VA. As Data Science Engineer you will be responsible for:
- MLOps, Model Engineering, Training on time series data.
- After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications.
- Develop candidate models that are promoted to active models when their performance meets threshold.
- Train, validate and deploy machine learning pipelines.
- Test, troubleshoot, and enhance customer AI-based applications based on feedback.
- Manage individual project deliverables.
- Identify application performance bottlenecks and implement optimizations.
- Write application specifications and documentation.
- Articulate methodologies, experiments, and findings clearly in actionable way.
- Work in a fast-paced environment.
This is a Contract opportunity for 12 months. Security Clearance Active Secret Clearance.
The Ideal candidate will have:
- Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study.
- 5+ years of Data Science development experience using Python.
- Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations.
- Strong proficiency in numpy & pandas.
- Demonstrated skills with Jupyter Notebook or comparable environments.
- Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking.
Qualifications We Prefer:
- Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields.
- Strong mathematical background (linear algebra, calculus, probability & statistics).
- Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn).
- Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
- Experience with modern software development tools and practices (Git, pull requests).
- Experience analyzing model performance with relevant metrics and optimizing.
- Familiarity with AI agent frameworks.
Pay Rate: $80 - $90/hr
Volt offers benefits (based on eligibility) that include the following: health, dental, vision, term life, short term disability, AD&D, 401(k), Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).
Volt is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Volt is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates.
If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please email hr_dept@ or call (866) - .
Volt does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.
Data Science
Posted 3 days ago
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Job Description
Data Science
Job Locations
US-AZ-Fort Huachuca
Requisition ID
Position Category
Cyber Security
Clearance
Top Secret/SCI
Responsibilities
Secure Division Support. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five (5) CSSP functions; Identify, Protect, Detect, Respond, and Recover. GCC is responsible to conduct these functions for its assigned portion of the DODIN for both unclassified and classified networks/ systems. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services are required to defend against unauthorized activity on all Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. For sensor management, the division provides management of in-line Network Intrusion Protection System/Network Intrusion Detection System (NIPS/NIDS) sensors monitoring all CONUS DoDIN-A NIPRNet and SIPRNet Enterprise traffic to detect sensor outages and activities that attempt to compromise the confidentiality, integrity, or availability of the network. In coordination with GCC Operations, DCO initiates defensive security procedures upon detection of these attacks. Event analysis and response includes the processes involved with reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance received from GCC Government leadership. Support the Government in providing services for CSSP services on both the NIPRNet and SIPRNet IAW Appendix E: Secure Division Workload Assessment in support of the CONUS portion of the DoDIN-A. Develop reports and products, both current and long-term, in support of CSSP and course of action development. Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers. Contribute during the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
* Defensive Cyber Infrastructure (DCI) Support. Perform the following DCI functions:
* Develop and distribute content provided by security platform vendors at least weekly and as needed.
* Develop and distribute in-house content based on tippers from higher organizations and the Threat Hunt team.
* Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
* Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
* Develop and/or maintain dashboards displaying specific CSSP items of interest (i.e. top 10 attackers, top 10 destinations, top attack vector, etc.) and all active cyber incidents, in near real time, within each respective AOR.
* Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
* Changes must be approved through the established ITIL process.
* Develop signatures and policies that include both network- and host-based sensors.
* Update as necessary to minimize false positives and validate for proper syntax.
* Conduct all development and testing on isolated networks.
* Document and conduct testing activity with plan procedures, results, and operational procedures as signatures are developed and/or updated.
* Update and validate plan at least annually. A signature test plan shall be developed.
Basic Qualifications:
- 8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
- Certifications: DCWF Code 521 Advanced: Certified Information Systems Security Professional (CISSP) or GIAC Certified Intrusion Analyst (GCIA) or GIAC Cloud Security Essentials (GCLD) or GIAC Defensible Security Architecture (GDSA) or GIAC Global Industrial Cyber Security Professional (GICSP) or GIAC Security Essentials Certification (GSEC) or Information Systems Security Architecture Professional (ISSAP) or Information Systems Security Engineering Professional (ISSEP)
- Active TS/SCI Clearance
- Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
- Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range$66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
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Data Science
Posted 4 days ago
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Duration-Contract
Location- Austin, TX~ Sunnyvale, CA
Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
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Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
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Data Science
Posted 4 days ago
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Job Description
Duration-Contract
Location- Urbana, MD
JD
• Minimum 7 years of IT Experience• Minimum 2 years of experience in developing AI enabled solutions• Expert level competency in Python• Hands-on experience developing and deploying Machine Learning solutions• Good knowledge and experience in developing GenAI embedded solutions• Hands-on experience with AI cloud services is an added advantage Key Responsibilities:• Machine Learning based model building, validation, deployment, and monitoring• Developing MLOps solution for continuous development , deployment, and monitoring of solutions• Developing GenAI embedded solutions across various use cases• Rapid experimentation of GenAI use cases using Azure cloud AI and data services• Development and deployment of GenAI embedded solutions using open source solutions
Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Data Science
Posted 4 days ago
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Job Description
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.