Senior Machine Learning Engineer

This role involves deploying advanced machine learning models and AI-driven solutions in the cloud. The engineer will lead the end-to-end lifecycle of ML models, from data ingestion to deployment, with a focus on cloud architecture, data pipelines, MLOps, and collaboration. Mentorship and knowledge sharing are key components.

Requirements

• Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas)
• Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services
• Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes)
• Familiarity with Git and collaborative development workflows
• 6+ years of experience working with complex datasets and solving real-world business problems using AI
• Proven track record of deploying and maintaining ML models in production environments.