Generative AI Engineer - Data Science

<p><p><b>Roles and Responsibilities :</b></p><p><br/>- Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation<br/></p><p><br/></p><p>- Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows<br/></p><p><br/></p><p>- Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval<br/></p><p><br/></p><p>- Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation<br/></p><p><br/></p><p>- Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation<br/></p><p><br/></p><p>- Develop backend APIs and services using Python frameworks like FastAPI or Flask<br/></p><p><br/></p><p>- Contribute to scalable microservice-based :</b></p><p><b><br/></b></p><p>- Bachelor's degree in Computer Science, Information Technology, or a related field.<br/></p><p><br/></p><p>- 2 to 4 years in AI/ML development and backend system<br/></p><p><br/></p><p>- <b>Machine Learning Fundamentals :</b> Strong grasp of algorithms, model training, evaluation, and tuning<br/></p><p><br/></p><p>- <b>Generative AI Models :</b> Experience working with LLMs, RAG architecture, and fine tuning techniques<br/></p><p><br/></p><p>- <b>LangChain or Similar Frameworks :</b> Hands-on experience building AI workflows using toolkits like LangChain.<br/></p><p><br/></p><p>- <b>Natural Language Processing (NLP) :</b> Proficiency in text analytics, classification, tokenization, embeddings.<br/></p><p><br/></p><p>- <b>Vector Databases :</b> Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation<br/></p><p><br/></p><p>- <b>Big Data Handling :</b> Ability to work with large datasets, optimize storage, and processing pipelines<br/></p><p><br/></p><p>- <b>SQL/NoSQL :</b> Experience in querying and managing structured and unstructured data<br/></p><p><br/></p><p>- <b>Python & API Development :</b> Proficiency in Python and frameworks like FastAPI or Flask<br/></p><p><br/></p><p>- <b>ETL & Data Preprocessing :</b> Strong understanding of building pipelines for clean and efficient data processing<br/></p><p><br/></p><p>- <b>Soft Skills :</b> Strong problem-solving, communication, and collaboration Skills :</b><br/></p><p><br/></p><p>- <b>Agentic AI Tools :</b> Exposure to CrewAI or similar platforms for orchestrating multi agent interactions.<br/></p><p><br/></p><p>- <b>Content Structuring :</b> Experience in clustering, topic modeling, or organizing unstructured data<br/></p><p><br/></p><p>- <b>ETL Enhancements :</b> Advanced optimization techniques for faster and more efficient pipelines<br/></p><p><br/></p><p>- <b>Domain Exposure :</b> Prior work on projects involving customer insights, chat summarization, or sentiment analysis</p><br/></p> (ref:hirist.tech)