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AI and Machine Learning Engineer - Hewlett Packard Enterprise
ML Engineer
Lead end‑to‑end AI projects, building scalable ML models on AWS, leveraging TensorFlow and PyTorch to deliver insights from edge to cloud.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models using Python, TensorFlow, and PyTorch.
- Collaborate with data engineers to ingest, clean, and transform large datasets for model training.
- Implement model monitoring, A/B testing, and continuous integration pipelines on AWS services (SageMaker, Lambda, ECS).
- Translate business requirements into technical solutions, presenting findings to stakeholders.
- Optimize model performance and resource utilization for edge and cloud deployments.
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 ML services (AWS SageMaker).
- Solid understanding of data pipelines, feature engineering, and model evaluation metrics.
- Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes or ECS).
- Excellent communication skills and ability to work collaboratively in a hybrid environment.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws