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.

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:

   

At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital‑first world—setting new standards for the future of networking. We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded in innovation with purpose: applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint.

 

DEA’s charter is to discover, evaluate, and scale solutions that embed intelligent technology into every interaction—delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation. Our work is fuelled by a passion for self‑service, intelligent automation, and building digital experiences that are intuitive, scalable, and human‑centric.

What you’ll do:

Architects large scale software solutions that seamlessly merge traditional software modules with GenAI / AI components

Expertise in Python language stack and familiarity in Golang stack

Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members.

Drives efficient implementation of software development life cycle (SDLC) principles across projects

Designs RESTful Services - Expert-level knowledge of architectural constraints (Statelessness, Cache ability, Uniform Interface) and the design of resource-oriented APIs using FastAPI or similar techniques

Implements real-time Bidirectional Streaming – using web sockets or similar techniques for low-latency, stateful connections, including managing connection persistence via AWS API Gateway or Redis/Valkey pub-sub layers.

Implements Event-Driven Architectures (EDA) - Proven ability to design decoupled systems using different messaging patterns (Sync / Async). Must be proficient with message brokers such as Amazon SQS, RabbitMQ, or Apache Kafka/MSK.

Ability to design high-performance internal communications systems - Experience with gRPC and protocol buffers for high-throughput microservices communication.

Ability to optimize the architecture / code to meet business requirements related to latency and concurrency

Understands the language of Data Scientists, Data Engineers and Data Analysts and incorporates their inputs into designed architecture

Ability to guide team on design of database schemas for handling structured and unstructured data

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

Effectively leverages observability tools like New Relic, Grafana

Ability to break down complex problems into manageable, iterative technical solutions.

Knowledge on cloud technology (AWS preferred) and DevOps - containers, kubernetes or serverless, infra-as-code, CI/CD, monitoring and logging stacks

Collaborates with cross-functional teams to understand business requirements and design the appropriate solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness.

l Work with data and analytics specialists to strive for greater functionality in our data systems.

Identify trends, patterns from dataset to scope opportunities for automation

Aids deployment of machine learning models into production environments, considering scalability, performance, and security considerations.

Works collaboratively with the engineering manager and team lead to set design and implementation standards, ensuring continuous improvement and alignment with project goals.

Works with Front End, Data Engineering and DevOps teams to seamlessly integrate the software and deploy into production environment

Regularly leads meetings, fostering a collaborative and productive team environment.

Has experience in providing technical leadership, mentorship, and guidance to junior team members.

Address and resolve challenges proactively.

Develops and delivers strategic presentations and reports to senior stakeholders, demonstrating a deep understanding of technical and business aspects. Provide insights and recommendations.

What you need to bring:

We are looking for a candidate with 8-12 years of experience in a Software Development role, who has attained a Graduate degree in Computer Science, Information Systems or another related field.

7+ years experiences architecting large software solutions and deployed in Production environment. Some of the solutions need to developed incorporating AI models and tools.

Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs

Experience supporting and working with multi-functional teams in a multidimensional fast paced environment.

Good team worker with excellent interpersonal, written, verbal and presentation skills

Have deep understanding of Software Development Life Cycle (SDLC) and have led / worked in the different phases of SDLC.

Strong hands-on coding skills with expertise in Python language stack and familiarity in Golang stack

Experience in introducing new tools and techniques (AI based) for quality development of software solutions

Expert level knowledge in – RESTful Services, implemented statelessness, Cache ability, and Uniform Interface across services

Experience in implementing: Event Driven Architecture (EDA), Real-time streaming systems and internal communication systems

Have built processes supporting data transformation, data structures, metadata, dependency and workload management

Good knowledge on design pattern concepts

Understanding of AI concepts and different AI models and metrics

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Experience in design and optimization of databases (Structured / Unstructured) for information retrieval

Experience working with Databricks, Snowflake platforms

Experience with AWS, S3, Spark, Kafka, Elastic Search

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Experience with data pipeline and workflow management tools

Experience with AWS cloud services: EC2, EMR, RDS, Redshift

Have with Front End, Data Engineering and DevOps teams to seamlessly integrate the software and deploy into production environment

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#networking

Job:

Engineering

Job Level:

TCP_04

    

    

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.

   

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.