Machine Learning Engineer (Remote)

About the role

We are looking for a Machine Learning Engineer to design, build, 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 develop production‑ready 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 MLOps practices to automate testing, deployment, and versioning of models.
• Monitor models in production for performance degradation and data drift.
• Collaborate closely with data scientists to translate prototypes into maintainable code.

Required profile

• Minimum 4 + years of experience in machine‑learning engineering or software engineering.
• Proven track record of taking ML models from development to production.
• Strong problem‑solving skills and ability to work independently in a remote setting.
• Advanced proficiency in English.

Required skills

• Python programming.
• TensorFlow or PyTorch deep‑learning frameworks.
• MLOps tools and practices for automated testing, deployment, and versioning.
• Experience with model‑serving infrastructure for real‑time and batch predictions.

What we offer

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