Machine Learning Engineer (Remote)

About the role

We are looking for a Machine Learning Engineer to design, build and deploy production‑ready ML models. The role is fully remote and you will collaborate with a global team of top‑tier engineers and data scientists.

Key responsibilities

• Design and develop scalable machine‑learning pipelines using Python and frameworks such as TensorFlow or PyTorch.
• Deploy and maintain model‑serving infrastructure for real‑time and batch predictions.
• Implement MLOps practices to automate testing, deployment and versioning of models.
• Monitor production models for performance degradation and data drift.
• Work closely with data scientists to turn experimental prototypes into robust production code.

Required profile

• At least 4 years of experience in machine‑learning engineering or software engineering.
• Proven track record of taking ML models to production.
• Advanced proficiency in English.

Required skills

• Python programming.
• TensorFlow or PyTorch deep‑learning frameworks.
• MLOps tools and practices.
• Model serving and monitoring infrastructure.

What we offer

• 100 % remote work from anywhere.
• Competitive compensation in USD or local currency.
• Provided hardware and software for home office.
• Flexible schedule and paid parental leave, vacations and holidays.
• Mentorship, career growth and a multicultural environment with top‑1 % tech talent.