Machine Learning Engineer [w2 role]

Job Summary

We are seeking a hands-on Machine Learning Engineer with 5+ years of experience who can design, build, and deploy scalable machine learning solutions. This role requires strong coding expertise and real-world experience delivering models into production environments. The ideal candidate is not a manager but an individual contributor who thrives in a fast-paced, engineering-focused environment.

Key Responsibilities

• Model Development: Design, build, train, and fine-tune machine learning and deep learning models for real-world use cases
• Production Deployment: Deploy, monitor, and maintain ML models in production environments
• Data Pipeline Development: Build and optimize scalable data pipelines for ingestion, transformation, and processing
• Performance Optimization: Evaluate models using metrics like accuracy, recall, and AUC; optimize for performance and scalability
• Collaboration: Work closely with cross-functional teams including data engineers, software engineers, and business stakeholders

Required Skills & Qualifications

• 5+ years of experience as a Machine Learning Engineer or similar role
• Strong Python programming skills with solid software engineering fundamentals
• Recent and hands-on experience with PySpark (mandatory)
• Experience with machine learning frameworks such as Scikit-learn
• Strong understanding of statistics, probability, and algorithms
• Experience working with SQL, data modeling, and large datasets
• Proven track record of deploying ML models into production environments
• Experience with AWS services

Preferred Qualifications

• Experience with MLOps tools such as Docker for model deployment
• Hands-on experience with local Large Language Models (LLMs)
• Familiarity with distributed computing and big data technologies

Interview Process

Round 1 (30 mins – Virtual)

• Experience overview
• Technical discussion
• Live coding exercise (Video ON + full desktop screen sharing required)

Round 2 (60 mins – In-Person Preferred)

• Technical deep dive
• Advanced live coding exercise

Work Environment

• 4 days onsite preferred (Philadelphia office)
• Open to relocation candidates
• Reston, VA location may be considered if needed