Gen AI Data Scientist

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Abo

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.

Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning.

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:

7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.

Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.

Experience in end-to-end ML lifecycle including model development, validation, and deployment.

Solid understanding of statistics, probability, and data modeling.

Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).

Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, 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 models to non-technical audiences.