Principal 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 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 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 ll do Responsibilities Responsible for designing developing and deploying advanced machine learning models and algorithms This includes selecting appropriate techniques data pre-processing feature engineering model training and evaluation Stays up to date with the latest advancements in the field and leads research initiatives to explore novel approaches and technologies This involves conducting experiments evaluating new algorithms and identifying opportunities for innovation Responsible for designing the architecture of AI systems and ensuring scalability performance and reliability This includes optimizing algorithms leveraging distributed computing frameworks and utilizing cloud services to enable efficient and effective AI solutions Works closely with other teams such as data scientists software engineers and product managers You will collaborate 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 best practices for AI and machine learning Review their work and provide feedback to help them grow and improve their skills Oversees and guides multiple design review sessions across different projects ensuring consistency in design choices and adherence to best practices Act as a key mentor for the team Partners with the engineering manager and team lead to establish long-term design and implementation strategies Leads efforts to incorporate feedback loops and continuous improvement processes Leads meetings ensuring efficient progress tracking issue resolution and team coordination Support the engineering manager in setting meeting agendas Creates and delivers high-level presentations and reports to executive stakeholders effectively communicating complex technical strategies and their impact on business goals Applies and leverages data mining data modeling natural language processing and machine learning to extract and analyze information from datasets May be involved in the design and development of solutions to complex applications problems system administration issues or network concerns where applicable to the role Knowledge and Skills 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 Knowledge of popular machine learning frameworks and libraries like TensorFlow PyTorch or sci-kit is required Expertise in deep learning techniques architectures and frameworks e g convolutional neural networks CNN recurrent neural networks RNN generative adversarial networks GAN etc is highly valuable Strong programming skills are necessary for implementing and deploying machine learning models Proficiency in Python Java or C is required Ability to write clean efficient and maintainable code and have knowledge of software engineering best practices Should have proficiency in using agentic frameworks like langGraph or similar other frameworks Should be knowledgeable in lineage tracking of agentic architectures in general like usage of langfuse langsmith Knowledge of evaluation of traditional AI ML and Gen-AI based applications - during development phase and in production Be skilled in preparing and cleaning data for machine learning tasks which include data wrangling feature extraction dimensionality reduction handling missing values and addressing data quality issues A solid understanding of mathematical concepts such as linear algebra calculus probability theory and statistics is crucial for effectively 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 Create meaningful visualizations and effectively communicate complex concepts to technical and non-technical stakeholders Familiarity with software engineering principles version control systems e g Git testing methodologies and agile development practices is valuable This helps ensure the robustness scalability and maintainability of AI systems Stay up to date with the latest advancements in the field follow research papers attend conferences and contribute to the AI community A passion for continuous learning and a drive for innovation are essential traits Experience in leading research initiatives publishing research papers or contributing to open-source projects in AI Experience in guiding and mentoring other engineers Strong communication skills are necessary to collaborate with cross-functional teams effectively explain complex AI concepts to non-technical stakeholders and provide technical leadership and mentorship to junior engineers What you need to bring Education and Experience Required Education Bachelor s or Master s degree in Computer Science Engineering Data Science Machine Learning Artificial Intelligence or a closely related quantitative discipline Preferred Degree from a premier institute IIT Experience Typically 10-15 years of overall professional experience in relevant technical or leadership roles Patents filed or granted 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 Career 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 on Instagram to see the latest on people culture and tech at HPE india operations Job Engineering Job Level TCP 05 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 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 No Fees Notice Recruitment Fraud Disclaimer It has come to HPE s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates These scammers often seek to obtain personal information or money from candidates Please note that Hewlett Packard Enterprise HPE its direct and indirect subsidiaries and affiliated companies and its authorized recruitment agencies vendors will never charge any candidate a registration fee hiring fee or any other fee in connection with its recruitment and hiring process The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification Any candidate individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk and HPE disclaims liability for any damages or claims that may result from any such communication

📌 Principal Ai And Machine Learning Engineer (Bengaluru)
🏢 Hewlett Packard Enterprise
📍 Bengaluru