Full - stack AI Engineer With Devops Experience
Hewlett Packard Enterprise
Full-Stack Ai Engineer With Devops Experience
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: Full-Stack Ai Engineer (Python/Django, React, Ai) With Devops Experience
Experience: 6+ Years
Location: Bangalore
Job Type: Full-Time
About The Role
We're 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. You'll 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).
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.