AI/ML Engineer

Responsibilities :

• •Develop,Design, develop, and deploy scalable Machine Learning models for predictive analytics, classification, regression, recommendation, clustering, and forecasting problems.
• •Build end-to-end AI pipelines covering data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
• •Develop and fine-tune Large Language Models (LLMs) for enterprise use cases.
• •Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and embedding models.
• •Build autonomous AI agents capable of planning, reasoning, memory management, and tool usage.
• •Contribute to the establishment of best practices for efficient utilization of generative models in business and automation contexts.
• •Work with leadership and stakeholders to identify AI opportunities and promote strategy.
• •Be able to deliver solutions following modern software development practices.

Required Skills:

• •Bachelor's degree in computer science, IT, AI or relevant discipline
• •Must have minimum of 1 year of work experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solutions.
• •Specific experience in GenAI and Conversational AI – LLMs, frameworks like Lang chain, Llama Index etc, Vector DBs like Pinecone, Elasticsearch, etc.
• •Solid proficiency in Python programming and related AI/ML libraries.
• •Experience with cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI/ML solutions.
• •Experience with AI model evaluation, prompt optimization, and implementation of Responsible AI practice
• •Knowledge of API integration, microservices architecture, and production-grade AI application deployment.
• •Design GenAI application, integrating advanced models like OpenAI’s GPT, BERT or Open Source LLMs.
• •Deep understanding of the RAG architecture and its implementation.
• •Knowledge in SQL generation using LLM is preferred.
• •Ability to write high-quality, maintainable code and work collaboratively.
• •Knowledge of Agile software development lifecycle, including experience of applying change control procedures and disciplines required.
• •Problem solving with strong analytical skills with the ability to analyse complex requirements and define technical / functional advanced solutions.
• •Excellent communication skills in both verbal and written English