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AI/ML Engineer - Hitachi Energy
ML Engineer
AI/ML Engineer responsible for designing, developing, and deploying machine‑learning models and pipelines to support global operations, leveraging Python, TensorFlow/PyTorch, and cloud services.
About the role
Key Responsibilities
- Design, implement, and optimize machine‑learning models for predictive analytics and automation within the Operations Center.
- Develop end‑to‑end ML pipelines, including data ingestion, preprocessing, model training, validation, and deployment.
- Collaborate with cross‑functional teams to integrate AI solutions into existing energy‑management systems and platforms.
- Monitor model performance in production, perform root‑cause analysis, and iterate improvements.
- Document architecture, code, and best practices to ensure knowledge sharing across global teams.
Requirements
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- Hands‑on experience building, training, and deploying models for classification, regression, or time‑series forecasting.
- Familiarity with cloud platforms (e.g., AWS) for model hosting, scaling, and CI/CD pipelines.
- Understanding of data engineering concepts, including ETL processes and large‑scale data handling.
- Excellent problem‑solving skills and ability to work in a collaborative, multi‑disciplinary environment.
Skills
pythontensorflowpytorchmachine learningdeep learningaws