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AI/ML Engineer

https://www.hpe.com/ Logo

Hewlett Packard Enterprise

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Location:
India, Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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

Additional Information:

Job Posted:
October 29, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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