Associate AI/ML Engineer

eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.

eSimplicity is seeking a skilled and motivated AI/ML Engineer to join our data analytics team. In this role, you will support the design, deployment, and operation of production-grade A.I. systems - using analytics to shorten time to action. This role supports end-to-end model lifecycle engineering on Azure, advance MLOps best practices, and building A.I. agents that translate signals into timely, actionable decisions.  

Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance

This position is contingent upon contract award  

Responsibilities: 

• Implement and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines
• Support model selection, training, validation, optimization, and calibration, ensuring reliability, fairness, and performance at scale
• Establish MLOps workflows (CI/CD for ML, experiment tracking, model registry, reproducible builds and deployments) 
• Implement model monitoring (drift, data/feature quality, bias, and business KPIs), alerting, and automated rollback to keep systems safe and responsive
• Design high-quality data pipelines (ingest, transform, validate) across structured and unstructured sources; enforce data contracts and lineage
• Partner with analytics teams to make datasets discoverable, documented, and performant for iterative model development. 
• Contribute to coding standards, code reviews, and knowledge sharing; mentor engineers and data scientists
• Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement
• Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals
• Translate technical specifications into code and design documents  

Required Qualifications: 

• Bachelor’s degree in computer science or related field 
• Experience: 3+ years hands-on developing and deploying AI/ML models in production environments 
• Programming: Proficient in Python (including packaging, testing, performance optimization) 
• ML Expertise: Understanding of algorithms, model selection, training/validation/optimization, and evaluation at scale
• Data Skills: Proficient in data preprocessing, feature engineering, and data visualization for decision support
• Deep Learning & MLOps: Proficient with PyTorch/TensorFlow, and modern MLOps (deployment, monitoring, scaling, CI/CD, experiment tracking, model registry)
• Cloud: Experience with Azure for AI/ML workloads (e.g., Azure ML, Azure Synapse, Azure Data Lake)
• AI Agents: Experience developing AI agents in Copilot Studio and via Python frameworks (tooling, orchestration, retrieval, connectors) 
• Strong attention to detail with a commitment to delivering high-quality and accurate work
• Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams
• Proven ability to manage time and prioritize tasks in a fast-paced environment
• Demonstrated problem-solving skills with a proactive and solution-oriented mindset

Preferred Qualifications: 

• Experience with streaming/event-driven architectures (Event Hubs), feature stores, and vector databases (for retrieval-augmented generation)
• Hands-on with responsible AI (fairness, explainability, privacy), model governance (model cards, audits), and security in cloud ML
• Familiarity with domain-specific risk analytics and public sector/regulated environments
• Certifications in Azure AI/ML and/or?MLOps are advantageous

Working Environment: 

eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.   

Occasional travel for training and project meetings. It is estimated to be less than 5% per year.   

Benefits:   

We offer a highly competitive salary and full healthcare benefits.