Sr. Principal Engineer

Sr. Principal Engineer - Machine LearningThis role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

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. Our teams collaborate to transform insight into innovation. In today's fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what's next for you.

What you will do:

• Leads the design, development, and deployment of advanced machine learning (ML) models and algorithms, including selecting appropriate techniques, data pre-processing, feature engineering, model training, and evaluation to drive innovation and optimize business outcomes.
• Stays abreast of the latest advancements in AI and ML fields, leading research initiatives to explore novel approaches and technologies, conducting experiments, evaluating new algorithms, and identifying opportunities for innovation and strategic growth.
• Design the architecture of AI systems, ensuring scalability, performance, and reliability by optimizing algorithms, leveraging distributed computing frameworks, and utilizing cloud services to enable efficient and effective AI solutions.
• Collaborates closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements, identify opportunities for AI integration, and provide technical guidance throughout the development process.
• Provides technical leadership and mentorship to junior engineers, guiding them in the best AI and machine learning practices, reviewing their work, providing feedback, and fostering a culture of continuous learning and improvement.
• Leads and coordinates design review sessions at a departmental level, ensuring alignment with organizational standards and best practices. Mentor senior team members and foster a culture of excellence.
• Collaborates with the engineering manager, team leaders, and senior leaders to develop and refine strategic design and implement frameworks and drives initiatives for continuous innovation.
• Facilitates and oversees meetings across multiple teams, ensuring alignment and coordination on key projects. Addresses high-level challenges and provides strategic guidance.
• Develops and delivers executive-level presentations and reports, articulating the value and impact of technical initiatives. Effective communication influences decision-making and strategic direction.
• May participate in developing and implementing techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• May be involved in the design and development of solutions to complex application problems, system administration issues, or network concerns, where applicable to the role.

What you will bring:

• Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline. Master's degree is desirable.
• Typically, 10-15 years' experience.
• Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling.
• Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks.
• Expertise in deep learning techniques, architectures, and frameworks (e.g., CNN, RNN, GAN) is highly valuable.
• Strong programming skills for implementing and deploying machine learning models, with the ability to write clean, efficient, and maintainable code.
• Skilled in data preparation and cleaning for machine learning tasks, including data wrangling, feature extraction, dimensionality reduction, and handling missing values.
• Solid understanding of mathematical concepts, such as linear algebra, calculus, probability theory, and statistics, for designing and evaluating machine learning models.
• Proficiency in data visualization tools and techniques to analyze and present insights gained from AI and machine learning models.
• Familiarity with software engineering principles, version control systems (e.g., Git), testing methodologies, and agile development practices.
• Passion for continuous learning, staying updated with the latest advancements in AI and ML and contributing to the AI community.
• Strong communication skills for collaborating with cross-functional teams, explaining complex AI concepts to non-technical stakeholders, and providing technical leadership and mentorship.
• Extensive experience designing, implementing, and optimizing AI and machine learning models, with proficiency in popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in programming languages such as Python, Java, or C++ is necessary, along with knowledge of software engineering best practices, version control systems, and agile development methodologies.

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 Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#india#operations

Job:

Engineering

Job Level:

TCP_

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

---