Machine Learning Engineer (Python) – Remote

About the role

We are looking for a Machine Learning Engineer (Python) to design, train, and deploy production‑ready models that drive real‑world business value. The role is fully remote and involves building scalable, high‑performance AI systems for our global clients.

Key responsibilities

• Design and implement production‑ready machine learning models and algorithms using Python.
• Build and optimize end‑to‑end ML pipelines, including data preprocessing, feature engineering, and model training.
• Deploy models at scale with frameworks such as PyTorch and TensorFlow in production environments.
• Manage and transform large datasets on platforms like Databricks, ensuring data quality and reliability.
• Monitor model performance in production and implement retraining strategies to address data drift.
• Collaborate with cross‑functional teams to align model architectures with business goals and infrastructure requirements.

Required profile

• 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering.
• Proven track record of designing, training, and deploying machine learning models in production.
• Advanced proficiency in Python and deep‑learning frameworks such as PyTorch or TensorFlow.
• Hands‑on experience with Databricks for managing and scaling ML workloads.
• Strong background in optimizing model performance and ensuring system scalability.
• Advanced proficiency in English.

Required skills

• Python
• PyTorch
• TensorFlow
• Databricks

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, and national holidays.
• Innovative, multicultural environment with mentorship, promotions, and skill‑development opportunities.