Senior Data Scientist - Generative AI

About UsefulBI :

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.

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, youll work across the entire data science lifecyclefrom 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 Responsibilities :

• Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.
• Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.
• Design, optimize, and evaluate prompts tailored for various use cases and user personas.
• Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.
• Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.
• Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.
• Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.
• Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.
• Deploy GenAI applications using cloud platforms like AWS Bedrock / SageMaker, GCP Vertex AI, or Azure OpenAI.
• Build scalable and secure inference pipelines integrated with backend systems and APIs.
• Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.
• Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.
• Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.

Required Skills and Qualifications :

(ref : hirist.tech)