Remote Senior ML Engineer

Description:

• Design, build, and optimize machine learning models and pipelines for production systems.
• Focus on recommender systems, deep learning, MLOps practices, and AWS cloud-based ML infrastructure.

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).
• Solid experience with deep learning, including architecture design, training, and deployment of neural networks.
• Proven experience in designing and deploying recommender systems.
• Hands-on experience with AWS SageMaker and the broader AWS ML ecosystem.
• Practical experience in setting up data processing and ML workflows on AWS.
• Strong MLOps skills and understanding of the full ML lifecycle.
• Experience with containerization and orchestration in production environments.
• Proficiency with SQL and experience with structured and unstructured data sources.
• Strong problem-solving skills focused on scalability and performance optimization.

Benefits:

• Opportunity to work on cutting-edge ML technologies and systems.
• Collaborate with cross-functional teams to drive impactful ML solutions.