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AI and Machine Learning Engineer role at Hewlett Packard Enterprise, responsible for conducting advanced research in AI and machine learning, designing and architecting AI solutions for complex problems, and providing technical leadership and mentorship to junior team members.
Job Responsibility:
Conduct advanced research in AI and machine learning
Stay up to date with latest advancements in the field
Explore emerging technologies
Identify opportunities to apply cutting-edge techniques
Evaluate traditional AI/ML and Gen-AI based applications
Design solutions considering scalability, performance, and maintainability
Provide technical guidance and mentorship to junior team members
Work with stakeholders to understand requirements and translate into technical solutions
Collaborate with cross-functional teams
Drive continuous improvement and innovation
Evaluate and integrate third-party tools
Facilitate design review sessions
Mentor junior team members during review sessions
Collaborate with engineering manager and team lead
Participate in and coordinate meetings
Prepare and deliver detailed presentations and reports
Interpret and report data findings
Design and develop solutions to complex application problems
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 (linear regression, decision trees, support vector machines, random forests, deep learning models, reinforcement learning)
Strong foundation in mathematics and statistics (linear algebra, calculus, probability theory)
Proficiency in programming languages such as Python, R, or Java
Experience with version control systems (e.g., Git)
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, Keras
Proficiency in using agentic frameworks like langGraph
Knowledgeable in lineage tracking of agentic architectures
Advanced knowledge and experience in deep learning
Understanding of advanced neural network architectures
Experience with transfer learning, generative models, and optimization algorithms
Excellent communication skills
Strong problem-solving and critical thinking abilities
Nice to have:
Master's degree
Additional skills: 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 benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing
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