ArtificiaI Intelligence Lead

Wipro


Date: 1 week ago
City: Bengaluru, Karnataka
Contract type: Full time
AI/ML Engineer Job Description

Band

B2/B3

Role

AI/ML Engineer

Experience

6-10 Years of Experience

Job Location

Hyderabad/Pune/Kolkata

Notice Period

Immediate to 45 Days

Mandatory Skills

AI/ML, DL, NLP, Gen AI, Python, Tensorflow, Pytorch, Django, LLM, RAG, REST API

Preferred Skills

API Gateways WSO2/KONG/nginx, Apache HTTP Server, Azure DevOps, Ansible, Jenkins, ML Ops

Job Description / Roles & Responsibilities (in Detail)

  • Looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
  • Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
  • You will be responsible for prompting and building use case Pipelines
  • Perform the Evaluation of all the Gen-AI features and Usecase pipeline
  • Strong proficiency with Python, DJANGO framework and REGEX
  • Good understanding of Machine learning framework Pytorch and Tensorflow
  • Knowledge of Generative AI and RAG Pipeline
  • Good in microservice design pattern and developing scalable application.
  • Ability to build and consume REST API
  • Fine tune and perform code optimization for better performance.
  • Strong understanding on OOP and design thinking
  • Understanding the nature of asynchronous programming and its quirks and workarounds
  • Good understanding of server-side templating languages
  • Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
  • Integration of APIs, multiple data sources and databases into one system
  • Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
  • Understanding fundamental design principles behind a scalable and distributed application
  • Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
  • Implementing automated testing platforms, unit tests, and CICD Pipeline
  • Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
  • Understanding of container platform, such as Docker
  • Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
  • Experience in deploying on Cloud platform like Azure or AWS
  • Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform
  • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
  • Design and develop prompts suiting project needs
  • Lead and manage team of prompt engineers
  • Stakeholder management across business and domains as required for the projects
  • Evaluating base models and benchmarking performance
  • Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
  • Develop, deploy and maintain auto prompt solutions
  • Design and implement minimum design standards for every use case involving prompt engineering"

AWS MLOPS

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