Data Science Engineer -Gen AI

Artificial Intelligence & Engineering

AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. Youll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.

Level: L45-AI and Data Science Engineer III

Work you’ll do:

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

• Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture.
• Prepare technical architecture and design, clarify requirements, and resolve ambiguities.
• Develop solutions in line with established technical designs, integration standards, and quality processes.
• Create and enforce technical design and development guides, templates, and standards.
• Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review.
• Conduct detailed deliverable reviews and provide technical guidance to team members.
• Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.

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:

• 6-10 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP
• Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras
• Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows
• Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI
• Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components
• Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI).
• Deliver large-scale AI/Gen AI projects across multiple industries and domains
• Liaison with on-site and client teams to understand various business problem statements and project requirements
• Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation
• Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices
• Assist and participate in pre-sales, client pursuits and proposals
• Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members

Preferred:

• Knowledge of Vector DB, Neo4J/relevant Graph DBs
• Familiar with Docker containerization, GIT, etc.
• AI/Cloud certification from a premier institute is preferred.

Education:

• BE/B.Tech/M.C.A./M.Sc degree or equivalent from accredited university

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document https://resources.deloitte.com/sites/dnet-tod-usi/Shared Documents/Benefits/USIBenefitsBrochureforPlanG.pdf.

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