10,745 Machine Learning Specialists jobs in the United States

• Strong background in banking, nonlinear Client modeling experience and Client ops experience.
• GenAI is plus.
• Machine learning engineer: responsible for researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
• 8 to 10 Years

Req ID: RQ204611

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: BI Full 6C (T4)

Job Family: Artificial Intelligence

Skills:

Artificial Intelligence (AI),Cloud Development,Machine Learning

Experience:

15 + years of related experience

Job Description:

Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Expert supporting Case Management Modernization (CMM) Program The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The AI/ML Architect will work as part of an agile development team to build and support the modernization of enterprise-class software applications.

RESPONSIBILITIES:

• Define, document, and maintain a scalable, modular AI/ML architecture that aligns with enterprise cloud strategy and product requirements for the CMM initiative

• Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.

• Integrate MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models

• Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient

• Leverage Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards

• Design and support reusable, secure, and performant AI/ML services and APIs to be consumed by enterprise applications

• Conduct model validation and optimization in cloud environments, ensuring responsible AI practices, fairness, and transparency

• Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur

• Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports

• Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings in a secure and compliant manner

REQUIRED EXPERIENCE & QUALIFICATIONS:

• BA/BS or Master's of Arts or Science in related field, preferred

• 15+ years of specialized experience in information systems required

• Experience may be considered in lieu of degree as follows: HS (19+ years), AA/AS (17+ years), BA/BS (15+ years), Doctorate Degree/Ph.D. (12+ years)

• Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, GCP Vertex AI)

• Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn , XGBoost, or Keras

• Strong programming skills in Python , with experience in containerization (Docker) and orchestration (Kubernetes) for ML workloads

• Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration for model deployment

• Familiarity with federal data governance, security, and privacy standards , including JISF, NIST 800-53, and FedRAMP

• Proficient in using IaC tools such as Terraform, CDK, or CloudFormation to automate cloud ML infrastructure

• Experience with multi-tenant, distributed systems , and cloud-native architecture patterns

• Relevant certifications such as AWS Certified Machine Learning - Specialty , Google Professional ML Engineer , or equivalent preferred

Must be US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, US Citizen)

GDIT Is Your Place:

• 401K with company match

• Comprehensive health and wellness packages

• Internal mobility team dedicated to helping you own your career

• Professional growth opportunities including paid education and certifications

• Rest and recharge with paid vacation and holidays

The likely salary range for this position is $166,816 - $218,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at

We are seeking an Artificial Intelligence/Machine Learning Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border Protection (CBP).

Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

Essential Duties and Responsibilities:

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.

• This is a client-facing position working remote or hybrid, subject to the requirements established by the CBP customer.
• Develop, train, and deploy advanced AI/ML and Gen-AI models.

• Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.
• Optimize model performance, ensuring accuracy, efficiency, and scalability.
• Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.
• Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.
• Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.
• This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

Work Experience and Job Skills:

• 3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.
• Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
• Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)
• Experience with machine learning and generative AI frameworks.
• Experience with natural language processing techniques (e.g., text classification, language generation).
• Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.
• Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications
• Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
• Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database) and data warehousing concepts.
• An understanding and competency surrounding data storage, accesses, and loading.
  • Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.
  • ETL/ELT Concepts
  • Data warehouse concepts
  • SQL
• Competency in data exploration, analytics, and feature engineering. (Python Specific)
  • Pandas / NumPy / Polars / PySpark
  • Plotly / Matplotlib (some form of data visualization)
  • Data encoding / normalizing / regularizing / etc.
• Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.
• Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.
• Proficiency in NLP Tools SpaCy, ThinC, Gensim.
• Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.
• General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.
• Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
• Adaptability to changing priorities and a willingness to learn and grow are essential.
• Excellent organizational skills, and ability to effectively manage concurrent projects.
• Comprehensive problem-solving skills with exceptional attention to detail.
• Ability to learn, evolve, think creatively and proactively.
• Able to work under pressure (at times) and to be extremely flexible with changing priorities
• Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.

Education:

• Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.

Certificates, Licenses and Registrations:

• This federal program requires the candidates to be a United States Citizen.
• Must have a current CBP BI clearance or be eligible to obtain one.
• Any related systems engineering, or related technical certifications are desired.
• AWS/Azure/GCP AI/ML certifications are preferred but not required.

Communication Skills:

• Must have excellent written and verbal communication skills
• Ability to convey technical information to non-technical individuals.
• Demonstrated experience communicating effectively across internal and external organizations.
• Must work well in a matrixed team environment.

Travel:

• On-site in Ashburn, VA.

Environmental Requirements:

• Mainly sedentary; in an office environment
• May be required to lift up to ten (10) pounds
• Flexible in working extended hours

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

• Help implement machine learning algorithms and deep learning applications that advance our predictive capabilities across the Starz DTC platform
• Process, clean, and validate large datasets from our subscriber base to ensure high-quality inputs for machine learning models
• Perform feature engineering to improve performance and accuracy in predicting subscriber behavior and content preferences
• Develop and maintain pipelines for data processing, training, and deployment within our production environment
• Train, evaluate, and fine-tune machine learning models to ensure optimal performance and accuracy
• Implement A/B testing frameworks to validate machine learning model performance in real-world scenarios
• Monitor model performance in production and implement improvements based on performance metrics
• Document methodologies, processes, and results to enable knowledge sharing across the team
• Stay current with the latest advancements in machine learning and artificial intelligence to continuously improve our technological capabilities

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
• 2-4 years of professional experience building and deploying machine learning models in production environments
• Programming skills in Python with demonstrated knowledge of good coding practices
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Proficiency in SQL and experience working with large datasets in cloud environments
• Knowledge of data processing technologies for handling real-time streaming data
• Understanding of statistical analysis, experimental design, and A/B testing methodologies
• Excellent problem-solving abilities and attention to detail

• Master's degree in computer science / data science
• Programming skills in C#/ Java
• Experience developing high-scale applications
• Back-end coding / API development experience
• Experience with data visualization tools (Tableau, PowerBI, or similar)
• Experience in the media, entertainment, or streaming industry
• Strong communication skills with the ability to translate technical concepts to non-technical stakeholders

• Opportunity to impact how millions of subscribers interact with premium content
• Collaboration with experienced senior engineers who will mentor and support your professional growth
• Access to rich, diverse datasets from one of the leading premium global subscription platforms
• Chance to work at the intersection of entertainment and cutting-edge technology
• Competitive salary and comprehensive benefits package

• Full Coverage - Medical, Vision, and Dental
• Annual discretionary bonus and merit increase
• Work/Life Balance - generous sick days, vacation days, holidays, and wellness days
• 401(k) company matching
• Tuition Reimbursement (up to graduate degree)

They need Client with big data and Python. Need a detailed write up from candidate with these must haves.

Title: Machine Learning Artificial Intelligence Engineer
100% Remote (but find CA or PST candidates first before opening nationwide)

Must Haves-

1. Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
2. Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
3. 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive,
4. 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
5. Strong experience with REST API development using Python frameworks (Django, Flask etc.).
6. Micro Services/Web service development experience using Spring framework is highly desirable