Principal AI/ML Engineer
Pragmatike2 months ago
Boston, MA, USA +3 moreSenior / Staff+
Responsibilities
- Design, build, train, and optimize machine learning and deep learning models for production use.
- Lead the deployment of ML models into scalable, reliable production systems.
- Architect training, inference, and evaluation pipelines for structured and unstructured data.
- Own model performance, reliability, scalability, and lifecycle management.
- Drive experimentation, model iteration, and performance benchmarking.
- Implement and maintain high-quality ML codebases primarily in Python.
- Monitor, debug, and improve live production models.
- Collaborate with platform, backend, and infrastructure teams on system integration.
- Contribute to technical direction, architecture decisions, and AI roadmap planning.
- Mentor junior engineers and support team-level technical excellence.
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field.
- 7+ years of professional experience in AI/ML, data science, or applied machine learning roles.
- Proven experience deploying ML systems into production environments.
- Strong understanding of ML fundamentals, evaluation methodologies, and model lifecycle management.
- Deep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Strong proficiency in Python.
- Experience designing scalable ML systems and pipelines.
- Ability to operate independently and take technical ownership of complex systems.
- Strong problem-solving, architecture, and system-design skills.
Benefits
- Competitive salary & equity options.
- Sign-on bonus.
- Health, Dental, and Vision insurance.
- 401(k) plan.