Posted:-1 days ago|
Platform:
Work from Office
Full Time
A Senior Machine Learning (ML) Engineer designs, builds, and deploys production-ready machine learning models and systems, managing the entire ML lifecycle from data collection to deployment and monitoring.
Key responsibilities include developing advanced ML algorithms, collaborating with cross-functional teams, writing production-quality code, maintaining ML infrastructure (MLOps), mentoring junior engineers, and staying current with AI/ML advancements. Essential skills for this role are deep knowledge of ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (AWS, GCP), programming languages (Python), and experience with MLOps tools.
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