Software Engineer, Lead The Opportunity: We’re looking for a Software Engineer to join our internal Product Engineering team—a dynamic group of innovators passionate about redefining the market through cutting-edge technology. This role is ideal for a
Cybersecurity AI/ML Engineer The Opportunity: As a Cybersecurity AI/ML Engineer, you will operate as a hands-on technical contributor and engineering leader responsible for building, scaling, and operationalizing AI/ML systems that power Booz Allens Cyber Operations teams.
Cybersecurity Data Scientist The Opportunity: As a Cybersecurity Data Scientist, you will operate as a hands-on technical contributor and applied research leader responsible for designing, developing, and operationalizing data-driven and AI-enabled solutions for Booz Allens Cyber
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and
Job Title: AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: [email protected] RESPONSIBILITIES Design and implement agentic
Senior Data Scientist (AI) Washington, DC onsite presence highly preferred Period of Performance: 6 months Per Federal contract U.S. Citizenship Required Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance
Job Title: AI / ML Claude Engineer Experience level: 8+ years Must Have: Code AWS Bedrock and strands Agentic AI framework Engineer Job summary Value Technology is looking for Develop, deploy and operationalize machine-learning and applied-AI
Develop, integrate, and optimize Generative AI applications using AWS Bedrock, including prompt engineering, RAG implementation, and AI agent workflows. Create and optimize prompts for LLMs Work with Amazon Bedrock APIs for model inference Develop backend services
Note : candidate must able to work as a Independent contract. Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights. Innovate and Personalize: Assist in building scalable
Job Title: ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid 3 Days Onsite) OR Columbus, OH (5 Days Onsite) Duration: Contract-to-Hire Job Summary We are seeking a highly experienced ML Engineer to design, build,
Job Title: AI/ML Engineer Location: St. Louis, MO, Philadelphia, PA, Wilmington, DE, Columbus, OH, Chicago, IL, Minneapolis, MN, Detroit, MI. Long Term Contact Looking for W2 candidates. No C2C Job Summary: We are hiring experienced AI/ML
Bachelors degree in Computer Science, Data Science, Engineering, or a related field 15+ years of experience in software or data engineering, with at least 4 years focused on ML systems or MLOps in a production environment.
Job Title: AWS AI/ML Engineer Medicaid (Python & SageMaker) Location: Remote (Preferred Healthcare/Public Sector Experience) (Local to OH Preferred) Duration: Contract Job Summary We are seeking an experienced AWS AI/ML Engineer to support a Medicaid modernization
Senior AWS Bedrock & SageMaker Developer Descriptions: Develop, integrate, and optimize Generative AI applications using AWS Bedrock, including prompt engineering, RAG implementation, and AI agent workflows. Create and optimize prompts for LLMs Work with Amazon Bedrock
Role : MLOPS Engineer Location : Scottsdale AZ (Onsite) Indents : We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. Key Responsibilities Design and implement end-to-end
One of our clients is currently hiring for the position of MLOps Engineer Please find the job details below. If you are interested, kindly share your most recent resume at [] Role : MLOps Engineer Location
Location: Jersey City , NJ Duration: Contract to Hire Role/Title: ML Engineer Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable machine learning models and systems in production. Architect robust, high-performance ML infrastructure and