We are seeking an experienced Machine Learning Engineer with a strong background in designing, deploying, and managing ML models in production environments. The ideal candidate will have hands-on experience with MLflow, advanced knowledge of machine learning frameworks, and a proven track record of delivering scalable ML solutions.
 

Job details:

• Role:ML Engineer
• Full-time
• 100% remote
• Start date: 01/02/2026
• End date: 31/12/2026

Scope:

• Design, develop, and deploy machine learning models for production environments.
• Implement and manage MLflow for experiment tracking, model versioning, and deployment.
• Optimize ML pipelines for performance, scalability, and reliability.

Skills:

• 8+ years of experience in machine learning engineering or related roles.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with MLflow for model lifecycle management.
• Solid understanding of MLOps principles and tools (Docker, Kubernetes, CI/CD pipelines).
• Experience with cloud platforms (AWS, Azure or GCP) for ML deployment.
• Knowledge of data engineering concepts and tools (Spark, Airflow).
• Excellent problem-solving and communication skills.

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