Staff / Principal ML Ops Engineer

Location : Cambridge, MA (Eastern Time / UTC -4) 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 seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization.

You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade . This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution.

What Youll Do

• Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
• Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.
• Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).
• Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).
• Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI / CD for ML models.
• Collaborate with researchers to productionize models and accelerate training / inference pipelines.
• Establish ML Ops best practices, internal standards, and cross-team tooling.
• Mentor engineers and influence architectural direction across the entire AI platform.

What Were Looking For

Bonus Points

Why This Role Will Pivot Your Career

Benefits

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.