AI/ML Lead Software Engineer

AI/ML Lead Software Engineer General Dynamics Information Technology - 3.7 Washington, DC Job Details $128,039 - $173,229 a year 6 hours ago Benefits Internal mobility program Paid holidays 401(k) matching Qualifications Data visualization software proficiency Data Integration (Data management) Hypothesis testing Infrastructure as Code (IaC) IT system monitoring NumPy R Alteryx Application deployment Automating deployment processes SQL Pandas Bachelor's degree Model deployment Feature extraction Scala Implementing APIs Natural language processing Regression analysis Model training GraphQL Machine learning libraries AI Model evaluation Machine learning frameworks MLOps Database software proficiency Full Job Description Your Impact Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens. Job Description At GDIT, we deliver clarity with cloud, AI, and data-driven solutions that modernize mission‑critical systems for federal clients. We are seeking an experienced AI/ML Lead Software Engineer to design, develop, and deploy advanced machine learning and AI solutions. You will partner with data scientists and engineers to build scalable systems, integrate AI into enterprise platforms, and deliver production-ready capabilities. How You'll Make an Impact Design and implement machine learning models for use cases including predictive analytics, NLP, computer vision, and recommendation systems. Collect, clean, and preprocess large structured and unstructured datasets; ensure data quality and relevance. Train, validate, and optimize models using modern frameworks and best practices. Engineer features and apply domain knowledge to improve model accuracy and generalization. Deploy models to production and integrate them with enterprise applications, APIs, and MLOps workflows. Build scalable solutions for batch or real-time inference; package, version, and automate deployments with CI/CD. Monitor production models for drift, performance, reliability, and trigger retraining as needed. Document technical designs, data lineage, assumptions, and best practices. Collaborate with cross-functional teams to understand requirements and deliver impactful AI capabilities. Provide guidance to junior team members and serve as a task or team lead when needed. Work independently with general supervision. Required Education / Skills Bachelor's degree and 8+ years of experience. Hands-on experience with Alteryx. Strong Python skills (Pandas, NumPy, scikit-learn) and SQL expertise. Solid understanding of statistics (probability, hypothesis testing, regression, A/B testing). Experience across the full ML lifecycle: feature engineering, training, evaluation, deployment, and monitoring. Data wrangling and pipeline development (ETL/ELT) for large and complex datasets. Model evaluation (metrics selection, bias/variance, error analysis). MLOps integration and experience with API-based AI services. Production deployment experience including packaging, versioning, CI/CD, and monitoring (drift, performance). Experience with at least one major cloud platform (Azure, AWS, or GCP). Familiarity with Docker and Git. Data visualization skills (Power BI or Tableau). Strong system analysis abilities to identify AI use cases. Clear communication of technical concepts and business value. Knowledge of Responsible AI principles and data security practices. Ability to support 24x7 environments when required. Preferred Skills Experience with large language models (Azure OpenAI, OpenAI API), prompt engineering, and LLM quality/safety evaluation. Experience with RAG pipelines and vector databases (Azure AI Search, Pinecone, FAISS). Knowledge of LLM fine‑tuning and domain adaptation. Experience with experiment tracking/orchestration tools (MLflow, Weights & Biases). Kubernetes and ML deployment tools (AKS, EKS, Argo, KServe). Feature stores, A/B testing frameworks, and streaming platforms (Kafka, Kinesis). CI/CD and IaC tools (GitHub Actions, Azure DevOps, Terraform, Bicep). Experience with Databricks, Snowflake, or BigQuery. Strong API development (REST/GraphQL) for ML workloads. Monitoring/observability tools (Prometheus, Grafana). Responsible AI tools (SHAP, LIME) and model risk management. Knowledge of privacy-by-design, PII handling, and regulated environments (e.g., FedRAMP). Experience with R, PySpark, or Scala for large-scale data workloads. Experience with LangChain or Semantic Kernel for LLM applications. Advanced Power BI or Tableau (parameterized dashboards, row-level security).

Location:

This is a hybrid role that requires 3 days per week at the client site in Southwest Washington DC. Visa Sponsorship Will Not Be Provided for

This Position Clearance:

Candidates must be eligible to obtain a federal security clearance

GDIT IS YOUR PLACE

Full-flex work week to own your priorities at work and at home 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 Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays Work Requirements Years of Experience 8 + years of related experience may vary based on technical training, certification(s), or degree Certification Travel Required None Salary and Benefit Information The likely salary range for this position is $128,039 - $173,229. 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. View information about benefits and our total rewards program. About Our Work We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, 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 gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans