Pragmatike
Principal ML Ops Engineer
Cambridge · Principal
Sponsorship not specifiedDetected 91 days ago
TypeScriptPythonGoDistributed SystemsDatabricksAWSGCPAzureCloud PlatformsDockerKubernetesHelmCI/CDDevOpsMachine LearningPyTorchData EngineeringNLPLLMsMLOpsResearch
About the role
- Establish ML Ops best practices, internal standards, and cross-team tooling.
- Mentor engineers and influence architectural direction across the entire AI platform.
- Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected).
Responsibilities
- Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
- Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
- 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.
- 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.
- We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information.
- Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments
Requirements
- English (required)
- Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling).
- Proficiency with Python and familiarity with TypeScript or Go for platform integration.
- Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.
Skills
- Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).
- Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding)
- Experience optimizing GPU clusters, scheduling, and distributed training frameworks.
Compensation
- Competitive salary & equity options
Benefits
- Competitive salary & equity options
- Health, Dental, and Vision
Company info
- Own critical systems while collaborating with world-class engineers.
- 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.
Equal opportunity
- Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination.
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