Contract_Generative AI Engineer(Databricks)_Bangalore(Hybrid)

World Wide Technology (WWT), a 36-year-old global technology solutions provider specializing in systems integration, Infra-Cloud security, application development, AI Services, and supply chain solutions. With a workforce of 10,000+ employees and strategic partnerships with leading OEMs such as Cisco, Dell EMC, Microsoft, and NVIDIA, WWT delivers cutting-edge infrastructure, cloud, security, and custom application services to clients across 35 countries. Our Advanced Technology Centers (ATCs)—lab setup environments spanning over one million square feet of world-class integration and distribution space enable us to deliver unmatched value and innovation at scale. Recognized as one of the Best Places to Work by Glassdoor and Fortune for 14 consecutive years, WWT is also ranked #6 on India’s Great Place to Work list for 2025.
World Wide Technology Holding Co, LLC. (WWT) currently has an exciting opportunity available for the role of AI Engineer. If you are interested in this opportunity, please respond with an updated resume and the required details at the bottom of this email.
This is a contract Role & we use a global payroll partner to manage payroll for all contract opportunities with us. A proper background verification of past employments, criminal checks would be done for onboarding to any opportunity with WWT.

Role : AI/ML Engineer
Location : Bangalore
Experience : 6+ years with min 3 years in AI/ML
3 days at client location
Office location: Embassy Tech Village, Outer Ring Road, Devarabeesanahalli, Bengaluru – 560103

Job Description
The Data Scientists are expected to work on the GenAI/LLM layer, specifically:
Key Responsibilities
Working with unstructured enterprise data
Creating and managing vector indexes
Building and optimizing RAG/search capabilities
Integrating data with supervisor agents
Prompt engineering
Fine-tuning LLM behaviors
Optimizing text-to-SQL workflows
Improving model accuracy and reducing hallucinations/errors
Configuring model parameters (temperature, retrieval tuning, etc.)
Working with Databricks GenAI ecosystem
Mandatory Skills
1. Databricks Experience – Mandatory
Strong hands-on experience with Databricks is non-negotiable.
Required exposure includes:
Databricks ML/LLMOps workflows
Mosaic AI
Unity Catalog
Vector Search / Vector Indexing
Genie Agents
GenAI application development on Databricks
2. GenAI / LLM Experience – Mandatory
Candidates should have practical experience in:
Prompt engineering
RAG architectures
LLM optimization
Fine-tuning concepts
Vector databases/indexing
Search and retrieval systems
· Accuracy evaluation of LLMs
· Agentic AI concepts
3. AI/ML Engineering Mindset
The expectation is closer to:
AI/ML Engineers
Applied GenAI Engineers
LLM Engineers
rather than pure Data Scientists or Data Engineers.
Cloud Requirement
AWS or Azure – Either is Acceptable
The environment is primarily AWS-based, but:
Azure + Databricks experience is also acceptable
The core focus is Databricks expertise
Cloud platform is secondary
Mentioned specifically:
Databricks expertise matters more than where it is deployed

Role: AI/ML Engineer
Detailed Description:
Role Summary:
This role is a highly specialized business-facing AI team. We deliver professional AI products and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. We look for individuals with strong, unique specializations to improve the overall strength of the team. This role is the right fit for you if you love working with customers, teammates, and fuelling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.
Objectives of the role:
o Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems
o Own production rollouts of consumer and internally facing GenAI applications
o Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
Required /Proven experience with the following:
o Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
o Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
o Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
o Experience in building production-grade machine learning deployments on AWS, Azure, or GCP
o Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience
o Passion for collaboration, life-long learning, and driving business value through AI
o [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
o We require fluency in English and willingness to work across time zones.
Desirable Skills:
o Experience in communicating and/or teaching technical concepts to non-technical and technical audiences alike
o Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
o Strong teamwork, problem-solving, and analytical skills
o Good understanding of Pharma Quality Standards and Practices
Additional Comments:
Databricks expertise is a strength for this role. We Prefer Immediate Joiners.