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Hewlett Packard Enterprise
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Full-Stack AI Engineer with DevOps Experience

Full-Stack AI Engineer with DevOps Experience

Hewlett Packard Enterprise

6 - 11 years

18 - 20 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

backend git development manager django devops artificial intelligence cloud machine learning infrastructure python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Full-Stack AI Engineer with DevOps Experience

This role has been designed as Onsite with an expectation that you will primarily work from an HPE office

Full-Stack AI Engineer (Python/Django, React, AI) with DevOps Experience

Experience: 6+ Years

Location: Bangalore

Job Type: Full-Time

About the Role

Were seeking a Full-Stack Engineer with deep expertise in backend (Python/Django), frontend (React), and applied Artificial Intelligence (AI), plus strong hands-on experience with DevOps practices, containerized infrastructure, and CI/CD systems
Youll architect, develop, and deploy scalable application features and machine learning models, supporting robust cloud-based environments with Kubernetes, Docker, and automated workflows

You will design production-ready AI features (ML models, NLP, prompt engineering, APIs), build seamless web apps, and optimize secure software delivery pipelines

Key Responsibilities

Lead backend development in Python (Django) and frontend/UI in React

Develop, deploy, and maintain AI/ML features (ML models, NLP pipelines, AI APIs) for production use

Integrate AI-driven functionalities into web and cloud-native applications (generative AI, chatbot frameworks, recommender systems)

Architect, implement, and optimize application and data pipelines for AI inference and training

Design REST APIs and maintain PostgreSQL schemas

Build and automate CI/CD pipelines using Jenkins, Git, and Artifactory for efficient software releases

Support containerization, orchestration, and application deployment using Docker and Kubernetes

Collaborate closely with DevOps, cloud, and data engineering teams to drive best practices

Required Skills & Experience

6+ years of experience in full-stack software development with Python (Django) and React

2+ years hands-on experience developing and integrating AI/ML solutions (using TensorFlow, PyTorch, scikit-learn, HuggingFace, OpenAI APIs, or similar)

Strong grasp of machine learning fundamentals, NLP, and algorithm implementation

Experience architecting AI-powered features delivered via APIs or microservices

Practical experience building and automating CI/CD pipelines (Jenkins, Git, Artifactory)

Hands-on exposure to Docker and Kubernetes (deployments, scaling, automation)

Familiarity with DevOps practices and infrastructure automation

Nice to Have

Certifications in AI/ML, AWS, Azure, or Kubernetes

Experience in generative AI solutions

Knowledge of MLOps best practices and tools

Familiarity with Helm, Terraform, and Infrastructure-as-Code

Secure AI pipeline delivery, artifact governance, and compliance workflows

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)

Job:

Engineering

Job Level:

TCP_03

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

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Full-Stack AI Engineer with DevOps Experience