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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