Key Responsibilities:

As an Infra AI Automation Programmer you will work on design development and deployment of AI systems that generate content or data often using techniques such as deep learning neural networks and generative models using Python backend coding
Client Engagement and Needs Analysis
Meet with clients in and remotely to understand their business objectives challenges and identify potential use cases for Generative AI
Assess the client s existing technology infrastructure data landscape and AI maturity to determine the feasibility and best approaches for Gen AI adoption
Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions e
g
content creation customer service product development marketing
Gen AI Strategy and Solution Design
Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases implementation plans and expected business outcomes
Design Gen AI solutions architecture considering factors such as model selection e
g
large language models LLMs diffusion models data requirements integration with existing systems and scalability
Evaluate and recommend appropriate Gen AI platforms tools and APIs e
g
OpenAI Google AI Azure AI open source libraries relevant to the client s needs and the Indian market
Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications
Technical Guidance and Implementation Support
Provide technical expertise and guidance to client development teams and internal AI ML engineers on the implementation of Gen AI solutions
Assist with data preparation cleaning and feature engineering relevant to Gen AI model training and fine tuning
Collaborate with data scientists and ML engineers on fine tuning pre trained Gen AI models using client specific data
Advise on the integration of Gen AI models into existing applications and workflows
Ethical Considerations and Responsible AI
Educate clients on the ethical implications of using Generative AI including bias fairness transparency and potential misuse
Advise on responsible AI practices and frameworks to ensure the ethical and compliant deployment of Gen AI solutions
Help clients develop guidelines and policies for the responsible use of Gen AI within their organizations

Technical Requirements:

At least 2 years of programming experience in Python
Handson experience in working on Gen AI
Handson experience in Tensorflow Pytorch Langchain and Prompt Engineering
Experience with vector databases and retrieval augmented generation RAG
Familiarity with MLOps principles and tools for deploying and managing Gen AI models
Understanding of ethical considerations and responsible AI frameworks
Understanding of data structures data modelling SQL NOSQL
Object oriented and functional programming GIT
Knowledge of basic algorithms and object oriented and functional design principles
Deep Knowledge of Mathematics Probability Statistics and Algorithms
Good Communication skills
Good analytical and problem solving skills

Additional Responsibilities:

Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile
These include
High analytical skills
A high degree of initiative and flexibility
High customer orientation
High quality awareness
Excellent verbal and written communication skills

Preferred Skills:

Technology->AI-Agentic AI->AgentOps,Technology->AI-AI Engineering->MLOps,Technology->AI-Generative AI->Generative AI - Basic,Technology->AI-Traditional AI->TensorFlow,Technology->OpenSystem->Python - OpenSystem->Python

Infra AI Automation Programmers