Senior Data Scientist

Role & responsibilities

Top 3 skills which is mandatory

• Developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.• Advanced statistical techniques and concepts• Deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

Senior Gen AI Developer

As a GenAI Engineer with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions. With a focus on creativity, collaboration, and technical excellence, this role offers a unique opportunity to work on transformative projects that drive business intelligence and decision-making across diverse industries.
available to work in hybrid mode out of Bengaluru location

Key Responsibilities:
• Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.• Apply statistical skills and advanced statistical techniques and concepts.• Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.• Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.• Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases• Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.• Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras.• Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.• Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.• Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks• Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.• Work closely with customers to understand their requirements and deliver customized AI solutions.• Interact at appropriate levels to ensure client satisfaction and project success.• Communicate complex technical concepts clearly to non-technical audiences.• Conduct training sessions to enhance overall data science skills within the organization.

Basic Qualifications:
• 1+ years of experience:• architecting high-impact GenAI solutions for diverse clients with At least 2 projects having agents /agentic rag and integration with biz systems - exposure to MCP integration with enterprise applications.• Enterprise scale solution design eg multii threading on vector db, integration with LLM• Exposure to emerging tech and biz trends in AI / Agentic RAG based capabilities etc• Exposure to predictive modelling, ANN additional plus• 8+ year(s) of experience participating in projects that focused on one or more of the following areas:• Predictive Analytics• Data Design• Generative AI• AI/ML• ML Ops• 3+ years of experience using Python.• Ability to travel at least 25%.• Bachelors Degree required.

Preferred Skills:
• preferably worked with hyperscaler based products eg bedrock, opensearch (and/or OpenAI Foundry, cosmos db) ) - else experienced in deploying other open-source integrated stack on cloud