<p><p><b>About UsefulBI :</b><br/><br/>UsefulBI is a leading AI-driven data solutions provider specializing 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.</p><br/><p><b>Role Overview :</b><br/><br/>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, youll work across the entire data science lifecyclefrom exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.</p><br/><p>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.</p><br/><p><b>Key Responsibilities :</b><br/><br/>- Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.<br/><br/>- Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.<br/><br/>- Design, optimize, and evaluate prompts tailored for various use cases and user personas.<br/><br/>- Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.<br/><br/>- Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.<br/><br/>- Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.<br/><br/>- Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.<br/><br/>- Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.<br/><br/>- Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.<br/><br/>- Build scalable and secure inference pipelines integrated with backend systems and APIs.<br/><br/>- Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.<br/><br/>- Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.<br/><br/>- Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.</p><br/><p><b>Required Skills and Qualifications :</b><br/><br/>- 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.<br/><br/>- Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.<br/><br/>- Experience in end-to-end ML lifecycle including model development, validation, and deployment.<br/><br/>- Solid understanding of statistics, probability, and data modeling.<br/><br/>- Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).<br/><br/>- Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning.<br/><br/>- Experience with SQL and at least one NoSQL database.<br/><br/>- Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).<br/><br/>- Strong communication skills with the ability to explain complex models to non-technical audiences.</p><br/></p> (ref:hirist.tech)