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Senior AI and Machine Learning Engineer - Hewlett Packard Enterprise HPE
ML Engineer
Lead end‑to‑end AI solutions, designing and deploying scalable machine‑learning models on AWS using Python, TensorFlow, and PyTorch, while driving data engineering and model optimization for enterprise workloads.
About the role
Key Responsibilities
- Architect, develop, and deploy production‑grade machine‑learning models using Python, TensorFlow, and PyTorch on AWS infrastructure.
- Collaborate with data engineering teams to design scalable data pipelines and feature stores that support model training and inference.
- Implement model monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines to ensure reliability and performance.
- Translate business requirements into technical solutions, providing actionable insights and recommendations to stakeholders.
- Stay current with emerging AI research and technologies, evaluating their applicability to enterprise challenges.
Requirements
- 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models.
- Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and cloud services (AWS SageMaker, EC2, S3).
- Solid background in data engineering, SQL, and big‑data processing (Spark, Hadoop).
- Experience with model versioning, monitoring, and performance optimization.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningawstensorflowpytorchdeep learning