Senior Data Scientist AI/ML & GenAI

About

As a Senior Data Scientist with 7+ years of experience, you will be responsible for leveraging your expertise in advanced machine learning and AI techniques to address complex business challenges. Your role will involve designing, developing, and deploying ML models using classical algorithms and deep learning architectures, along with building NLP solutions and GenAI models. Additionally, you will collaborate with data engineers, perform advanced feature engineering, translate business problems into data science solutions, and present insights to stakeholders. Mentoring junior data scientists and contributing to internal knowledge sharing and innovation will also be part of your key responsibilities.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms and deep learning architectures
• Build NLP solutions for text classification, entity recognition, summarization, and conversational AI
• Develop and fine‑tune GenAI models for content generation, code synthesis, and personalization
• Architect and implement Retrieval‑Augmented Generation (RAG) systems
• Collaborate with data engineers to build scalable data pipelines and feature stores
• Perform advanced feature engineering and selection
• Translate business problems into data science solutions
• Communicate findings to stakeholders through compelling storytelling and visualization
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI
• Strong academic background in Computer Science, Statistics, Mathematics, or related field
• Proficiency in Python, SQL, and ML libraries
• Experience with NLP and GenAI tools
• Hands‑on experience with RAG systems and vector databases
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools
• Solid understanding of data structures, algorithms, and software engineering principles
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine‑tuning, prompt engineering, and GenAI safety frameworks
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS
• Contributions to open‑source projects, publications, or patents in AI/ML

Soft Skills

• Strong analytical and problem‑solving skills
• Excellent communication and stakeholder engagement abilities
• Ability to work independently and collaboratively in cross‑functional teams
• Passion for continuous learning and innovation