Principal AI/ML Engineer
Pragmatike
full-time
Posted on:
Location Type: Hybrid
Location: Cambridge • Massachusetts • United States
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Job Level
Tech Stack
About the role
- 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
- 401(k)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningmodel deploymentmodel performancemodel lifecycle managementPythonML frameworksscalable ML systemsevaluation methodologiesproblem-solving
Soft Skills
leadershipmentoringcollaborationtechnical ownershipindependencearchitecture skillssystem-design skills
Certifications
Bachelor’s degreeMaster’s degreePhD