AI/ML Engineer

🕒 August 27

🇺🇸 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 25%

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.

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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 • Integrate AI/ML pipelines with data engineering and cloud platform services • Ensure compliance with Responsible AI requirements, including transparency, fairness, explainability, security, and privacy • 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 AI/ML 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

🎯 Requirements

• BA/BS or equivalent required • 15+ years of general experience in information systems, including at least 10+ years of specialized experience • Experience may substitute for education: 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 • Expertise in machine learning, deep learning, and natural language processing (NLP) • Experience in AI/ML engineering, machine learning, data science, or advanced analytics • Strong 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 leading federal or judiciary AI/ML modernization programs preferred • Familiarity with Generative AI for content generation, summarization, and development assistance • Experience applying predictive analytics to performance monitoring, test optimization, and resource planning • 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 • Background in data visualization and explainable AI methods preferred • Excellent presentation and communication skills • Consultant mindset and ability to work with high-level customer stakeholders • Strong analytical and problem-solving skills • 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 • Less than 10% travel required

🏖️ Benefits

• Comprehensive medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre-tax and post-tax contributions and 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 and learning opportunities • Internal mobility support • Wellness packages • Remote work • Competitive pay