AI/ML Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $195.2k - $264.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Define and execute AI/ML strategy aligned to CMM modernization objectives • Design, develop, deploy, and maintain ML, predictive, forecasting, Generative AI, Agentic AI, and advanced analytics solutions • Build and tune models using appropriate algorithms, architectures, and data pipelines • Develop LLM-powered applications, RAG pipelines, AI agents, and intelligent automation capabilities • Apply statistical and advanced analytics methods to support data-driven decision-making • Evaluate foundation models, commercial/open-source models, and emerging AI technologies • Create proof-of-concepts and transition successful models to production • Document AI/ML architecture, methodologies, features, and validation results • Automate model deployment, monitoring, versioning, lineage, and lifecycle management • Build and maintain MLOps/LLMOps pipelines integrated with CI/CD and DevSecOps • Implement automated model training, testing, validation, deployment, rollback, and alerting • Monitor model performance, drift, and degradation; trigger retraining as needed • Maintain reproducible environments and support scalable cloud deployment • Ensure transparency, fairness, explainability, security, privacy, and Responsible AI compliance • Perform bias assessments, model risk evaluations, bias mitigation, and explainability assessments • Lead ATO impact analysis and support security, privacy, data classification, and authorization reviews • Maintain the AI/ML Capability Register, model cards, governance artifacts, and lifecycle documentation • Identify risks such as hallucination, prompt injection, data leakage, misuse, and drift; implement safeguards and monitoring • Partner with analysts, engineers, architects, governance, cybersecurity, and business stakeholders • Translate business problems into AI/ML use cases and technical solutions • Assess data readiness and ensure appropriate data ownership, quality, and lineage • Develop standards, reusable patterns, and best practices for AI/ML development • Recommend AI/ML tools, cloud services, and SDLC automation opportunities • Mentor teams on AI/ML development and Responsible AI practices • Communicate technical findings to technical and non-technical audiences • Support the Case Management Modernization Program’s integrated data governance, engineering, platform, reporting, analytics, and AI/ML capabilities

🎯 Requirements

• BA/BS or equivalent required • Experience may be considered in lieu of degree: HS with 19+ years, AA/AS with 17+ years, BA/BS with 15+ years, MA/MS with 13+ years, or Doctorate/Ph.D. with 12+ years • 15+ years of general information systems experience, including at least 10+ years of specialized experience • Expertise in machine learning, deep learning, and natural language processing techniques • Experience in AI/ML engineering, machine learning, data science, or advanced analytics • Proficiency with Python, SQL, TensorFlow, PyTorch, scikit-learn, XGBoost, AWS SageMaker, Bedrock, Azure ML, and GCP Vertex AI • Experience implementing MLOps pipelines and integrating ML workflows into CI/CD environments • Knowledge of FedRAMP, FISMA, and NIST AI RMF • Understanding of data governance, model monitoring, and ethical AI practices • Experience with vector databases, LLM fine-tuning, RAG pipelines, prompt engineering, and/or Agentic AI architectures • Experience with MLOps/LLMOps, model deployment, versioning, monitoring, and lifecycle management • Experience with Generative AI/LLM frameworks such as LangChain, vector databases, and OpenAI/Azure • Ability to communicate effectively with technical and non-technical audiences • Ability to work effectively independently and as part of a team • Must be able to pass a background check to obtain a position of Public Trust • Must be a US Person: Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen • Excellent presentation, communication, analytical, advisory, problem-solving, and consulting skills

🏖️ Benefits

• Comprehensive medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan options • 401(k) plan with company match • Full flex work weeks where possible • Vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team supporting career goals • Wellness packages • Less than 10% travel required