Senior ML Engineer

We are looking for a Senior ML Engineer to design, build, and optimize machine learning models and pipelines powering production systems. The ideal candidate brings deep hands-on experience across the ML lifecycle, with particular strength in recommender systems, deep learning, MLOps practices, and cloud-based ML infrastructure on AWS.

Requirements

• 4+ years of hands-on experience in machine learning engineering
• Strong proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost, etc.)
• Solid experience with deep learning — architecture design, training, hyperparameter tuning, and deployment of neural network models.
• Proven experience designing and deploying recommender systems.
• Hands-on experience with AWS SageMaker and broader AWS ML ecosystem.
• Practical experience setting up data processing and ML workflows on AWS.
• Strong MLOps skills.
• Solid understanding of the full ML lifecycle.
• Hands-on experience with containerization and orchestration in production environments.
• Proficiency with SQL and experience working with both structured and unstructured data sources.
• Strong problem-solving skills with an emphasis on scalability and performance optimization.