Data Scientist(Gen AI , Python, AWS, AI/ML, 8 TO 10Yrs)

Job Title: Gen AI DeveloperLocation: Bangalore / LucknowRole Type: Full-time, Senior levelCompany’s website: link: UBI LinkedInAbout UsefulBI:UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.Role Overview:We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you’ll work across the entire data science lifecycle—from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.Key ResponsibilitiesDesign, develop, and deploy Generative AI applications using LLMs such as GPT-4, Claude, Mistral, Gemini, and frameworks like LangChain.Build GenAI-powered solutions including AI report generators, contextual chatbots, summarization engines, and semantic search systems.Design, optimize, and evaluate prompts for diverse use cases and user personas.Implement and enhance Retrieval-Augmented Generation (RAG) pipelines to improve relevance and accuracy.Fine-tune and customize foundation models using LoRA, PEFT, and prompt-tuning techniques.Evaluate and monitor model performance across accuracy, latency, and business KPIs.Apply NLP techniques such as entity recognition, topic modeling, sentiment analysis, summarization, and question answering.Work with libraries and frameworks including Hugging Face Transformers, LangChain, spaCy, and NLTK.Deploy and scale GenAI solutions on cloud platforms such as AWS Bedrock/SageMaker, GCP Vertex AI, and Azure OpenAI.Build secure, scalable inference pipelines integrated with backend systems and APIs.Implement MLOps best practices using tools like MLflow, Docker, and CI/CD pipelines.Collaborate with product managers, data engineers, and designers to align AI solutions with business goals.Continuously explore and experiment with emerging GenAI models, tools, and research to keep solutions cutting-edge.Required Skills & Qualifications7+ years of experience as a Data Scientist, with strong exposure to Generative AI / LLM-based applications.Proficiency in Python and ML libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.Experience across the end-to-end ML lifecycle: development, validation, deployment, and monitoring.Strong foundation in statistics, probability, and data modeling.Hands-on experience with NLP libraries such as NLTK, spaCy, and Hugging Face Transformers.Practical experience with OpenAI APIs, LangChain, RAG architectures, and LLM fine-tuning.Experience with SQL and at least one NoSQL database.Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders.

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