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Senior AI and Machine Learning 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:

Senior AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation.

Job Responsibility:

  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
  • Develops, implements, and optimizes machine learning models and algorithms
  • Deploys machine learning models into production environments
  • Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
  • Organizes and leads comprehensive design review sessions
  • Works collaboratively with the engineering manager and team lead to set design and implementation standards
  • Regularly leads meetings
  • Provides technical leadership, mentorship, and guidance to junior team members
  • Develops and delivers strategic presentations and reports to senior stakeholders
  • Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets

Requirements:

  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 9 -10 years’ experience
  • Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
  • Strong foundation in mathematics and statistics
  • In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
  • Proficiency in programming languages such as Python, R, or Java
  • Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
  • Proficiency in using agentic frameworks like langGraph or similar other frameworks
  • Knowledgeable in lineage tracking of agentic architectures
  • Knowledge of evaluation of traditional AI/ML and Gen-AI based applications - during development phase and in production
  • Advanced knowledge and experience in deep learning
  • Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning
  • Excellent communication skills
  • Strong problem-solving and critical thinking abilities
  • Strong programming skills
  • Deep understanding of statistical modeling, data mining, and data visualization

Nice to have:

  • Artificial Intelligence Technologies
  • Cross Domain Knowledge
  • Data Engineering
  • Data Science
  • Design Thinking
  • Development Fundamentals
  • Full Stack Development
  • IT Performance
  • Machine Learning Operations
  • Scalability Testing
  • Security-First Mindset
What we offer:
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Additional Information:

Job Posted:
February 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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