Gen AI-AI and Data Science Engineer II

As a Gen AI-AI and Data Science Engineer II on the AI & Data team, you will be responsible for…

• Gather and analyse requirements using industry context to align solutions to business and sector needs
• Design, build, test, deploy, and support AI and Generative AI solutions across the software development lifecycle
• Participate in Agile ceremonies, including sprint planning, retrospectives, and effort estimation
• Perform peer and team reviews to support delivery quality and consistency
• Identify opportunities for process improvement, automation, and innovation to enhance project outcomes

The team

AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

AI & Data professionals will work with our clients to:

• Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
• Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.

Location: Bengaluru/Hyderabad/Pune/Chennai

Qualifications

Required:

• 3-6 years of hands-on experience in Generative AI, Deep Learning, or Natural Language Processing
• Experience with Python, CUDA, Structured Query Language, TensorFlow, PyTorch, and Keras
• Experience with large language models including OpenAI GPT-3.5/4, Google Gemini, Amazon Web Services Bedrock, Llama 3.0, and Mistral
• Experience with retrieval-augmented generation, agentic workflows, generative adversarial networks, transformer architecture, and diffusion models
• Experience with hyperscaler platforms including NVIDIA, Amazon Web Services, Microsoft Azure, Google Cloud Platform, or Oracle
• Experience delivering large-scale Artificial Intelligence or Generative AI projects
• BE, BTech, MCA, or MSc in Computer Science, or equivalent degree

Preferred:

• Experience with vector databases and Neo4j or other graph databases
• Experience with Docker and Git
  • AI or cloud certification