Machine Learning Engineer Senior

Requirements:

Must have:

• 4–6 years of experience in Machine Learning Engineering with strong expertise in MLOps and ML system architecture.
• Advanced proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Hands-on experience with MLOps platforms and orchestration tools, including MLflow, Kubeflow, AWS SageMaker, Airflow, or similar.
• Strong knowledge of cloud platforms (preferably AWS) and container technologies (Docker, Kubernetes).
• Experience implementing model monitoring, logging, performance optimization and inference pipelines.
• Solid understanding of data pipelines, APIs, distributed systems, and real-time/ batch data processing.
• Experience with AWS Data Pipeline and cloud-native ML services.
• Strong ability to work cross-functionally with Data Scientists, Engineers, and business stakeholders.
• Preferred certifications: AWS Machine Learning Specialty, Google Profes...