Ai Ml Engineer

Role & responsibilities

• 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

Preferred candidate profile

Good knowledge in- AI/ML, DL, NLP, Gen AI, Python, Tensorflow, Pytorch, Django, LLM, RAG, REST API