Associate Machine Learning Engineer

Description About Us: eSimplicity is a modern digital services company that works across government, partnering with our clients to improve the health and lives of millions of Americans, ensure the security of all Americans—from soldiers and veterans to kids and the elderly, and defend national interests on the battlefield. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that courageously equip Federal agencies with solutions to transform today for a better tomorrow for all Americans. Responsibilities: Design and develop AI and machine learning models and algorithms to solve complex problems and optimize processes. Implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, and evaluation. Conduct experiments and perform thorough evaluation of model performance using appropriate metrics and validation techniques. Collaborate across backend, frontend, and data teams to integrate AI agents, multi-agent orchestration workflows, and MCP-compliant tools into PRIMA’s Control Tower and runtime environments. Stay current with advancements in AI/ML research, technologies, and best practices. Mentor junior team members and contribute to a culture of learning and innovation within the organization. Collaborate with cross-functional teams to ensure alignment with business goals and priorities. You will work with architecture and the innovation team to assess and research technologies and frameworks for our Cloud & AI/ML pipelines Understanding customer requirements and project KPIs Design and implement cloud-native pipelines and infrastructure using IaC and DevSecOps principles Setting up tools and required infrastructure Defining and setting development, test, release, update, and support processes for DevOps operation Have the technical skill to review, verify, and validate the software code developed in the project Troubleshooting techniques and fixing the code bugs Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage Encouraging and building automated processes wherever possible Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management Design and extend PRIMA’s AI runtime architecture, including LangGraph- or pydantic-AI-based agent workflows. Incidence management and root cause analysis Coordination and communication within the team and with customers Selecting and deploying appropriate CI/CD tools Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline) Other duties as assigned. Requirements Required Qualifications: Bachelor's Degree or equivalent in experience in Engineering, Computer Science, or related field 2-4+ years working in AI/ML, DevOps, development, IT consulting or other technology related fields Strong experience with graph databases Experience with pydantic-at, LangChain, LangGraph, pydantic-AI, or other AI agent frameworks. Strong experience with AI/ML libraries such as scikit-learn, SparkML, TensorFlow, PyTorch Proficient with relational databases and advanced SQL Experience configuring and managing vector databases and associated embeddings Skilled in debugging AI systems, data anomalies, and deployment issues in distributed systems Working knowledge of various tools, open-source technologies, and cloud services Awareness of critical concepts in Security, DevOps and Agile principles Experience with Docker, Kubernetes, and container-based deployment Familiarity with embedding models, chunking strategies, and retrieval pipelines in a production environment. Understanding of agent frameworks and AI tool routing patterns Strong experience with data mining, supervised, and unsupervised learning methodologies including data dimensionality reduction, correlation analysis, linear regression, PCA, clustering, random forest, etc. 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 25% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.

#J-18808-Ljbffr