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AI and Machine Learning Engineer role at Hewlett Packard Enterprise focusing on advanced research in AI and machine learning, designing solutions for complex business problems, and providing technical leadership within the organization.
Job Responsibility:
Conduct advanced research in AI and machine learning
Stay up to date with latest advancements in the field
Explore emerging technologies and identify opportunities to apply cutting-edge techniques
Evaluate traditional AI/ML and Gen-AI based applications during development phase and in production
Design solutions considering scalability, performance, and maintainability
Provide technical guidance and mentorship to junior team members
Collaborate with cross-functional teams including product managers, data scientists, and business analysts
Drive continuous improvement and innovation in AI and machine learning practices
Evaluate and integrate third-party tools or services
Facilitate design review sessions
Prepare and deliver detailed presentations and reports to stakeholders
Requirements:
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master's degree is desirable
Typically 5-7 years' experience
Deep understanding of machine learning algorithms such as linear regression, decision trees, support vector machines, random forests, deep learning models, and reinforcement learning
Strong foundation in mathematics and statistics including linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with software engineering best practices, version control systems, and software development methodologies
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
Proficiency in using agentic frameworks like langGraph or similar frameworks
Knowledge in lineage tracking of agentic architectures
Advanced knowledge and experience in deep learning including neural network architectures and techniques such as transfer learning, generative models, and optimization algorithms
Nice to have:
Master's degree
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
What we offer:
Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
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