Join to apply for the AI/ML Engineer role at Pragmatike
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About The Job
About The Job
Location: On-site Cambridge, MA (Eastern Time / UTC -4)
Start date: ASAP
Languages: English (required)
This role is on-site in in the Cambridge, Massachusetts area. Relocation is considered for the right candidate who is not currently based in Cambridge, Massachusetts . Please inquire for more details during the interview process.
We are hiring at Pragmatike to expand our team and drive the growth of our internal projects.
Our focus is on developing cutting-edge solutions in Cloud Computing, Blockchain, and Artificial Intelligence, while fostering a culture of collaboration and innovation. Joining us means being part of a passionate team where your ideas and skills directly contribute to shaping tomorrow's technologies.
If you're passionate about applied AI and enjoy solving real problems in a fast-paced environment, wed love to meet you.
Responsabilities:
- Design, implement, and fine-tune machine learning models for production-grade use cases.
- Curate and manage datasets used in training, validation, and evaluation.
- Work closely with engineers to integrate ML models into larger systems and monitor their performance in production.
- Ensure that AI solutions are efficient, maintainable, and aligned with business objectives.
- Maintain thorough documentation for reproducibility and team collaboration.
- Solid hands-on experience with AI/ML systems from development to deployment.
- Proficient in Python; familiarity with TypeScript or Go for integration tasks is a plus.
- Strong command of tools and frameworks such as PyTorch, Transformers, Llama-factory, VLLM, Megatron-LM, and CUDA.
- Comfortable working with cloud environments (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
- Strong communication and team collaboration skills.
- Experience deploying models at scale in production environments.
- Familiarity with CI/CD and DevOps workflows for ML applications.
- Previous experience in high-paced, innovation-driven environments (e.g., startups).
- Background in systems-level optimization for machine learning workloads.
- Work on impactful AI systems with real-world applications.
- Join a focused, collaborative engineering team based in Boston/Cambridge.
- Be part of a company where your ideas and code go into productionnot just into slide decks.
- Competitive salary, equity options, and strong benefits (Insurance, 401K, moving expenses)
- Continuous learning environment with room to grow technically and professionally.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
IT Services and IT Consulting
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