Data Engineer – AWS SageMaker & Python Expert (CE57T RM 3117)

Position: Data Engineer (CE57T RM 3117)

Education Required: Bachelor’s / Masters / PhD: Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering

Must have skills:

• Develop and deploy ML models using Python and AWS (SageMaker, S3, Lambda, etc.).
• Build scalable data pipelines and automate ML workflows.
• Analyze large datasets, perform feature engineering, and ensure model accuracy.
• Collaborate with cross-functional teams to integrate ML models into production.
• Work on HVAC-related use cases (preferred but not mandatory).

Good to have skills:

• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with AWS services for ML.
• Understanding of MLOps and model deployment best practices.
• Experience or familiarity with HVAC domain is a plus.

Key Responsibilities:

• Develop and deploy ML models using Python and AWS (SageMaker, S3, Lambda, etc.).
• Build scalable data pipelines and automate ML workflows.
• Analyze large datasets, perform feature engineering, and ensure model accuracy.
• Collaborate with cross-functional teams to integrate ML models into production.
• Work on HVAC-related use cases (preferred but not mandatory).

Requirements:

• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with AWS services for ML.
• Understanding of MLOps and model deployment best practices.
• Experience or familiarity with HVAC domain is a plus.
• Bachelor’s/Master’s in Computer Science, Data Science, or a related field.

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