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Hewlett Packard Enterprise Logo Hewlett Packard Enterprise · IT - Software Development

AI/ML Engineer

India, Bangalore · Job Posted October 29, 2025
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Job Description

HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers' outcomes from their digital transformation. We are seeking an experienced AI / ML Engineer with 7+ years of expertise in designing, developing, and deploying machine learning and artificial intelligence solutions at enterprise scale.

Job Responsibility

  • Design, train, and optimize ML/DL models for classification, prediction, NLP, computer vision, and recommendation systems
  • Deploy ML models into production using MLOps frameworks
  • Develop reusable ML components for scalability and automation
  • Work with large-scale datasets for feature extraction, cleaning, and transformation
  • Implement data pipelines for real-time and batch ML workloads
  • Build end-to-end automated ML lifecycle pipelines
  • Integrate CI/CD practices into ML model deployment
  • Optimize algorithms for speed, accuracy, and cost efficiency
  • Ensure compliance with ethical AI practices and regulatory frameworks
  • Mentor junior engineers and contribute to best-practice frameworks

Requirements

  • 7+ years in AI/ML engineering, data science, or applied machine learning
  • Proficiency in Python, R, or Scala with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost)
  • Strong background in statistics, data mining, and algorithm design
  • Hands-on experience with cloud AI/ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
  • Familiarity with MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes)
  • Strong knowledge of SQL/NoSQL databases and data lakes
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field

Nice to have

  • Experience with Generative AI (LLMs, diffusion models, transformers)
  • Domain knowledge in NLP, CV, or reinforcement learning
  • Exposure to streaming data ML (Kafka, Flink, Spark Streaming)
  • Familiarity with responsible AI frameworks (Fairness, Explainability, Bias detection)
  • Preferred certifications: AWS Certified Machine Learning – Specialty / Azure AI Engineer Associate / GCP ML Engineer
  • TensorFlow or PyTorch professional certifications

What we offer

  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Career growth opportunities
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