Production - Consultant I (Contractor)

Machine Learning EngineerKey Responsibilities• Model Development: Design, build, and train machine learning and deep learning models for real-world applications• Data Pipeline Construction: Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion• Evaluation & Optimization: Run experiments, analyze performance metrics (e.g., accuracy, recall, AUC), and optimize models for performance, speed, and scalabilityRequired Skills & Qualifications• Programming: Strong proficiency in Python (including PySpark) with solid understanding of software architecture principles• ML Frameworks: Hands-on experience with machine learning libraries such as Scikit-learn• Mathematics: Strong foundation in statistics, probability, and algorithm design• Data Handling: Experience with SQL, data modeling, and building data pipelinesNice to Have• Production Deployment (MLOps): Experience deploying models using tools like Docker• LLM Experience: Familiarity with deploying and working with local large language models (LLMs)Interview ProcessRound 1 (30 mins, Virtual)a. Experience overview, technical questions, and a live coding exercisei. Requirements: video ON and full desktop screen sharingRound 2 (60 mins, In-Person preferred)a. Technical deep dive and live coding exerciseWork Setup4 days in office is preferred , if we can't find a local candidate, we can look for candidate local to Reston VA officer