What are the responsibilities and job description for the AI/ML Engineer position at Pragmatike?
About The Job
Location: On-site — Cambridge, MA (Eastern Time / UTC -4)
Start date: ASAP
Languages: English (required)
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, we’d love to meet you.
Responsabilities:
Location: On-site — Cambridge, MA (Eastern Time / UTC -4)
Start date: ASAP
Languages: English (required)
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, we’d 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 production—not just into slide decks.
- Competitive salary, equity options, and strong benefits.
- Continuous learning environment with room to grow technically and professionally.
