Data Science Lead
at Brillio 2
Bangalore, Karnataka, India, onsite, senior, 8+ years
posted 25 Aug 2026
- AWS Bedrock
- Azure AI Search
- MLflow
- Azure OpenAI
- LLM
- Pinecone
- Machine Learning
- Microservices
- LangGraph
- Docker
- Vector Databases
- Google Vertex AI
- AWS
- Python
- Semantic Kernel
- Azure
- Databricks AI Agents
- LLMOps
- LangChain
- AI
- Unity Catalog
- SQL
- Agentic AI
- Prompt Engineering
- MLOps
- GCP
- CI/CD
- RAG
- Databricks
- Weaviate
- Kubernetes
- REST APIs
About the role
Posted: 2026-08-25
Data Science Lead
Job requirements Experience Range: With at least 8 years of experience in AI/ML engineering, machine learning, data science, software engineering, or related fields Key Responsibilities:
- Design and implement advanced machine learning and AI solutions, including LLM-based applications and agentic AI systems, to address complex business challenges and deliver measurable business outcomes
- Lead the development, deployment, and operation of production AI/ML and GenAI models across major cloud platforms such as Azure, AWS, or GCP, ensuring high availability and scalability
- Build, orchestrate, and optimize AI agents and autonomous workflows, focusing on robust memory, context management, and multi-agent architectures
- Drive enterprise AI/ML workloads within the Databricks ecosystem, leveraging Databricks AI Agents, Model Serving, Vector Search, MLflow, and Unity Catalog to enhance operational efficiency
- Establish and maintain MLOps and LLMOps practices, including CI/CD pipelines, model lifecycle management, experiment tracking, evaluation, and monitoring for continuous improvement
- Develop and apply RAG architectures, embeddings, vector databases, prompt engineering, and LLM evaluation frameworks to improve model performance and reliability
- Ensure AI security, responsible AI practices, data privacy, and effective mitigation of hallucination, prompt injection, and GenAI guardrails
- Mentor engineers and provide technical leadership, collaborating with cross-functional teams to deliver scalable, enterprise-grade AI solutions
What they are looking for
- Advanced hands-on programming experience in Python
- Proficiency in SQL and experience with large-scale structured and unstructured datasets
- Strong practical understanding of machine learning and AI fundamentals
- Hands-on experience building and deploying LLM-based applications
- Expertise in agentic AI including agent orchestration, autonomous workflows, tool/function calling, planning, task decomposition, memory, and context management
Read from jobs.lever.co, last seen 5d ago.