This role has been designed as 'Hybrid' with a requirement 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:
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.
CEPT requires L3 AI / ML Specialist / Architect / Lead resources for solution architecture, technical guidance, review, governance, optimisation and end-to-end ownership of AI / ML implementation for Department of Posts applications and operations
What you'll do:
Lead the design and architecture of AI / ML solutions for CEPT and Department of Posts use cases.
Identify high-impact AI use cases in consultation with domain teams, application teams and business stakeholders.
Prepare technical architecture, solution design, implementation roadmap and feasibility assessment for AI projects.
Guide L2 AI / ML developers in model development, coding standards, testing, deployment and documentation.
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Design and implement enterprise-level AI solutions including predictive analytics, anomaly detection, fraud risk scoring, NLP, GenAI, RAG-based knowledge systems and intelligent monitoring.
Define data requirements, model selection strategy, evaluation metrics and deployment approach.
Review model accuracy, bias, explainability, performance, scalability and security compliance.
Design MLOps pipelines for model versioning, deployment, monitoring, retraining and performance tracking.
Ensure secure and responsible use of AI, especially in handling government, citizen, employee and financial data.
Coordinate with DevOps, database, application, security and infrastructure teams for production deployment.
Review APIs, integration design and performance of AI models in production systems.
Prepare governance documents, model cards, risk assessment notes, security notes, SOPs and technical documentation.
Conduct knowledge transfer, training and technical mentoring for CEPT officials and L2 resources.
Monitor performance of deployed AI solutions and recommend optimisation / retraining wherever required.
Provide L3-level support for critical AI / ML production issues
Education and Experience Required:
Experience: Minimum 5-8 years of experience in AI / ML, data science, enterprise analytics or AI solution implementation.
For AI Architect / Lead role: 8-10 years of experience in enterprise AI architecture, MLOps, large-scale data platforms and team leadership will be desirable.
Essential Qualification: Bachelor’s / Master’s degree in Computer Science / IT / Electronics / AI / Data Science / Engineering or equivalent.
Desirable: Advanced certification in AI / ML / Data Science / Cloud / Cybersecurity
What you need to bring:
Strong expertise in Python and AI / ML frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, XGBoost or equivalent.
Strong understanding of supervised, unsupervised and deep learning techniques.
Expertise in NLP, LLMs, embeddings, vector databases, semantic search and RAG architecture.
Experience in Generative AI implementation, prompt engineering, model evaluation, guardrails and AI governance.
Experience in fraud analytics, anomaly detection, predictive modelling, risk scoring and operational analytics.
Strong knowledge of databases, data pipelines, ETL, data quality and large-scale data processing.
Experience in API-based model deployment using FastAPI / Flask / Django or equivalent.
MLOps experience including Docker, Kubernetes, CI/CD, model monitoring, versioning and retraining workflows.
Exposure to cloud / on-premise AI infrastructure, GPU environments and scalable deployment architecture.
Knowledge of cybersecurity, data privacy, auditability and responsible AI principles.
Ability to prepare technical architecture documents, SOPs and governance frameworks
AI use case identification and prioritisation report.
Feasibility assessment and solution architecture documents.
Model design, review and validation reports.
MLOps and deployment architecture.
AI governance, security and risk assessment documents.
Production deployment plan and monitoring framework.
Technical review of L2 deliverables.
Training and knowledge transfer material.
Periodic performance and optimisation reports.
The work schedule for this position is Onsite (Mon-Friday) work from office in client location either in Bangalore or Mysore
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.
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Job:
Services
Job Level:
TCP_03
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.
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We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
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