Job Description
**What you’ll do:**
Job Responsibilities
The Manager will be responsible for:
• Lead and manage a team of Engineers to deploy and monitor machine learning models in production.
• Working with data engineers for designing data engineering pipelines and performs robust ETL processes to ensure reliable, high‑quality data for analytics and ML workloads.
• Collaborate with cross-functional teams, including data science, engineering, and operations, to understand business requirements and translate them into scalable ML solutions.
• Architect and implement end-to-end machine learning pipelines for model training, testing, deployment, and monitoring.
• Establish best practices and standards for model versioning, deployment, and monitoring to ensure reliability, scalability, and performance.
• Implement automated processes for model training, hyperparameter tuning, and model evaluation using tools such as Weight and Biases, MLflow, Kubeflow, or s...
Job Responsibilities
The Manager will be responsible for:
• Lead and manage a team of Engineers to deploy and monitor machine learning models in production.
• Working with data engineers for designing data engineering pipelines and performs robust ETL processes to ensure reliable, high‑quality data for analytics and ML workloads.
• Collaborate with cross-functional teams, including data science, engineering, and operations, to understand business requirements and translate them into scalable ML solutions.
• Architect and implement end-to-end machine learning pipelines for model training, testing, deployment, and monitoring.
• Establish best practices and standards for model versioning, deployment, and monitoring to ensure reliability, scalability, and performance.
• Implement automated processes for model training, hyperparameter tuning, and model evaluation using tools such as Weight and Biases, MLflow, Kubeflow, or s...
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