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Pragmatike

AI/ML Engineer

Pragmatike, Seattle, Washington, us, 98127

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AI/ML Engineer

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Pragmatike Get AI-powered advice on this job and more exclusive features. 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.

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 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.

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. Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Pragmatike by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.

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