AI ML Engineer

AI ML Engineer

Experience- 4 to 6years

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, Terraform, Databricks

•    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"