AI Summary
Develop and deploy machine learning models for production use, lead model deployment, and collaborate with researchers and engineers. Minimum 7 years of experience in AI/ML, strong understanding of ML fundamentals, and proficiency in Python required. Work directly with MIT CSAIL–founded leadership and build AI systems used by Fortune 500 customers.
Key Highlights
Design, build, train, and optimize machine learning models
Lead model deployment and productionization efforts
Collaborate with researchers, engineers, and product teams
Key Responsibilities
Design, build, train, and optimize machine learning models for production use
Lead model deployment and productionization efforts
Collaborate with researchers, engineers, and product teams
Technical Skills Required
Benefits & Perks
Competitive salary
Equity options
Sign-on bonus
Health, Dental, and Vision
401(k)
Relocation package available
Professional development opportunities
Nice to Have
Research background, publications, or applied AI innovation projects
Experience building AI systems used by enterprise or large-scale customers
Deep learning, LLMs, GenAI, or modern AI architectures
Job Description
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
Relocation package: Available
Start date: ASAP
Languages: English (required)
About The Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are looking for a Senior AI/ML Engineer to join a high-performing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will take technical ownership of critical ML components, lead model development and productionization efforts, and work closely with AI researchers, platform engineers, and product teams to deliver scalable, production-grade AI systems.
This role is intended for experienced AI/ML engineers who have already built and deployed models in production environments and want to operate at the intersection of research-quality AI and real-world systems engineering.
What You’ll Do
- 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
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- 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
- Experience with deep learning, LLMs, GenAI, or modern AI architectures
- Experience building AI systems used by enterprise or large-scale customers
- Strong experience with cloud platforms (AWS, GCP, Azure)
- MLOps experience (CI/CD for ML, model deployment, monitoring, observability)
- Research background, publications, or applied AI innovation projects
- Experience leading AI initiatives or mentoring ML engineers
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- Work directly with MIT CSAIL–founded leadership
- Build AI systems deployed to Fortune 500 customers
- Operate at the intersection of cutting-edge AI and real-world production systems
- High ownership and influence over technical direction
- Join a well-funded, fast-growing AI startup with strong technical ambition
- Clear path toward Staff/Principal AI Engineer or AI Architect roles
- Competitive salary & equity options
- Sign-on bonus
- Health, Dental, and Vision
- 401(k)
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
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