Machine Learning Engineer – Remote

About the role

We are looking for a Machine Learning Engineer to design, develop, and deploy production‑ready ML models. You will work remotely with a global team of top‑tier engineers, turning experimental research into reliable, scalable solutions.

Key responsibilities

• Design and build production‑grade machine learning pipelines using Python and frameworks such as TensorFlow or PyTorch.
• Deploy and manage scalable model‑serving infrastructure for real‑time and batch predictions.
• Implement and optimise MLOps practices to automate testing, deployment, and versioning of models.
• Monitor models in production for performance degradation and data drift, ensuring long‑term reliability.
• Collaborate closely with data scientists to translate prototypes into maintainable production code.

Required profile

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven track record of building and deploying ML models into production.
• Strong background in training, serving, and monitoring large‑scale ML systems.

Required skills

• Python
• TensorFlow or PyTorch
• MLOps practices
• Model serving infrastructure

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible schedule and paid parental leave, vacations, national holidays.
• Multicultural environment with mentorship, skill development, and growth opportunities.