Principal Machine Learning Engineer

Principal Machine Learning Engineer - Remote U.S. - 5% travel to Chicago-area

Our client is seeking a Principal Machine Learning Engineer to drive ML innovation and business impact. As a hands-on leader, you’ll leverage AWS tools and open-source technologies to build and enhance ML models. You’ll mentor a ML team, collaborate with business stakeholders, and explore cutting-edge techniques like LLMs, GenAI, and deep learning to align ML solutions with company goals.

Key Responsibilities:

• Lead ML Innovation: Develop and refine ML solutions using AWS tools to maximize business impact.
• Mentorship & Coaching: Guide the ML engineering team, fostering growth and continuous learning.
• Hands-on Execution: Split time between model development, deployment, and optimization (50%) and research & development (50%).
• Cross-functional Collaboration: Partner with the Principal Data Scientist and key stakeholders to drive ML strategy.
• Research & Industry Awareness: Stay current with emerging ML technologies and best practices.
• Platform Optimization: Improve ML infrastructure for scalability, efficiency, and cost reduction.

Education & Experience Requirements:

• Education: Master’s in Computer Science, Data Science, ML, or a related quantitative field (Ph.D. preferred).
• Experience: 7+ years in ML engineering or combination of ML engineering with AI, or data science, with 3+ years in a leadership or mentorship role.

Technical Expertise:

• Strong knowledge of ML algorithms, deep learning, NLP, and GenAI techniques.
• Proficiency in AWS ML services (SageMaker, Bedrock, ECS) and MLOps practices or similar cloud services (i.e. GCP, Azure).
• Proven ability to build and manage CI/CD, containers, and orchestration (i.e. ECS, Dagster)
• Advanced Python programming skills with experience in TensorFlow, PyTorch, Scikit-learn.
• Expertise in data pipelines, feature engineering, and model lifecycle management, need to be proficient in APIs.
• Familiarity with vector databases (i.e. Pinecone, FAISS, Elasticsearch) and distributed computing.

Soft Skills & Leadership:

• Proven ability to mentor engineers and drive technical excellence.
• Strong problem-solving skills and an innovative mindset.
• Ability to collaborate with cross-functional teams and communicate ML concepts effectively.
• Comfortable in a fast-paced, evolving environment.

Why Apply?

• Autonomy & Innovation: Shape ML strategies with direct business impact.
• Continuous Learning: Work with the latest ML technologies.
• Career Growth: Opportunity to lead and scale ML initiatives.
• Collaborative Culture: Engage with executives and industry experts.

What You’ll Get:

• Competitive salary, annual bonus, and long-term incentives
• Flexible, remote-first work environment (approx. 5% travel)
• Access to cutting-edge ML tools and mentorship-driven culture

If you're excited about leading ML innovation and mentoring a top-tier team, apply now!

*Mavent Analytics and our client engages in ways that embrace diversity of race, ethnicity, culture, gender identity, age, sex, disability and experience.