Artificial Intelligence Developer

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