--- title: 'Principal ML Ops Engineer at Pragmatike' canonical: 'https://feeny.ai/job/principal-ml-ops-engineer-pragmatike-cambridge-jcrvaj9ewywh' type: 'job' last_seen: '2026-10-18' --- # Principal ML Ops Engineer at Pragmatike - **Company:** Pragmatike - **Location:** Cambridge, MA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-22 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/pragmatike/ab7be224-222d-4b16-a941-b91f15578457/application **Skills:** Python, PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA, AWS, GCP, Azure, Docker, Kubernetes, Helm, Autoscaling, ML Ops, Distributed Systems, Cloud Infrastructure, LLM deployment, Generative models, DevOps > Lead the design, implementation, and scaling of ML infrastructure and production AI systems. Partner with researchers and engineers to ensure robust, efficient, and automated large-scale AI operations across training, evaluation, deployment, and observability. ## Job description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available or Remote option for Out-Of-State applicants 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 Are Looking For - Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected). - Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure). - Proficiency with Python and familiarity with TypeScript or Go for platform integration. - Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding) - Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling). - Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries. - Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments Bonus Points - Experience deploying and operating LLMs and generative models in production at enterprise scale. - Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code. - Experience optimizing GPU clusters, scheduling, and distributed training frameworks. - Prior startup experience or comfort operating with ambiguity and high ownership. - Experience working with data engineering, feature pipelines, or real-time ML systems. ## Why This Role Will Pivot Your Career - Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions. - Customer impact: Deploy AI solutions powering Fortune 500 clients. - Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave). - Funding & growth: Oversubscribed seed round, next funding in 2026. - Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale. - Culture & autonomy: Own critical systems while collaborating with world-class engineers. - Aspirational impact: Solve AI performance challenges few engineers ever face. ## Benefits - Competitive salary & equity options - Sign-on bonus - Health, Dental, and Vision - 401k 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. ## About Pragmatike ## Company Overview - **One-liner**: Pragmatike is a remote tech recruitment platform that connects businesses with vetted software engineers, data specialists, and IT professionals across 60+ countries, promising hires within 48 hours. - **Entity Type**: Private (bootstrapped/early-stage; no disclosed funding rounds) - **Headquarters**: Paris, France (with offices in San Francisco, CA, USA and presence in UAE, Armenia, Turkey) - **Founded**: 2022 - **Founders**: Grégoire Clement (Co-Founder & CEO), Mathias Guigui (COO & Co-Founder) ## Core Business - **Primary industry**: IT Services and IT Consulting / Talent Recruitment - **Target customers**: Remote-first companies of all sizes – from startups and scaleups to large enterprises – primarily in SaaS and Fintech, but open to all industries (excluding defense, medical, weaponry) - **Mission or purpose statement**: “Simplify IT talent recruitment … score top remote developers and tech professionals. Easy peasy!” ## Products & Services - **Recruitment-as-a-Service**: End-to-end hiring process with human-picked vetting (no AI screening). Clients submit requirements, get matched within 48 hours, and receive a dedicated personal manager for the duration of the engagement. - **International Payroll & Compliance Management**: Handles contracts, IP protection, and local labor law compliance for remote hires across 100+ countries. - **Talent Pool Access**: Database of 50K+ candidates globally; specializes in niche technologies (AS400, Erlang, Scala, Elixir, cybersecurity, IoT, ML) as well as standard stacks (React, Node, Python, Swift, etc.). - **Roles Covered**: Full-stack developers, data engineers, mobile developers, DevOps, product managers, marketing, finance, sales – all fully remote. ## Market Standing - **Valuation**: Not publicly available - **Key Metric**: Reports 10,000+ vetted specialists in network; trusted by 50+ brands; currently posting 283 active job openings - **Notable Investors/Partners**: No investors disclosed; client logos not individually named but described as “unicorns, small businesses, large enterprises” - **Growth Signals**: - Year-over-year job postings growth: **+1079.2%** - Operates in 60+ countries - Stages talent in 2 offices (Paris, San Francisco) with remote workforce spanning 20+ locations ## Competitive Advantages - **100% Remote DNA**: The company was built for remote hiring, focusing on international talent – unlike traditional local staffing agencies. - **Human Vetting, No Fake AI**: Claims a rigorous human selection process (communication, English proficiency, technical test, client validation) rather than automated screening. - **Speed**: Guaranteed match within 48 hours; trial period offered at €0. - **Cost Advantage**: 30–50% cheaper than local market rates for freelance developers, with no hidden fees. - **Flexible, Project-Based Pricing**: No subscriptions or packages; pricing per hour (€31–€59) tailored to client budget. - **Niche Expertise**: Able to source rare specialists (AS400, Erlang, etc.) often inaccessible via traditional channels. ## Strategic Focus - **Global Expansion**: Growing presence in EMEA, UAE, and Americas; actively posting jobs across time zones. - **Quality Over Quantity**: Emphasizes human-curated matches over automated algorithms. - **SaaS & Fintech Concentration**: Primary verticals, while remaining industry-agnostic for broader reach. - **Cost Leadership**: Maintaining price advantage to undercut larger competitors like Toptal or Upwork. ## Why Work Here - **Culture**: Described as a “young startup” that “pampers clients like bees nurturing honey” – high-touch, service-oriented environment. - **Remote/Hybrid Policy**: Fully remote operations; employees work from physical offices in Paris or San Francisco as needed, but the company is built for remote work. - **Team**: Small team of ~7 employees (down 25% YoY, likely due to strategic refocus), with HR as the largest department (33%). - **Growth Opportunity**: Working at a fast-growing platform that tripled job postings in a year offers exposure to global tech talent markets and recruitment ops. - **Perks**: Not explicitly listed, but flexible, project-based environment with international exposure. ## Sources 1. [pragmatike.com](https://www.pragmatike.com/) 2. [linkedin.com](https://www.linkedin.com/company/pragmatikee) 3. [builtin.com](https://builtin.com/company/pragmatike) 4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/pragmatike) 5. 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