AI/ML Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
India, Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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AI/ML Engineer