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: 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.

Required qualifications:

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.

Preferred qualifications:

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.

Why join us?

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.