Job Description

Overview:
AI/ML Engineer
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
/ 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"