---
title: "Data Science Lead - R01570347"
company: "Brillio"
company_url: "https://www.remjobs.works/companies/brillio"
url: "https://www.remjobs.works/job/brillio-data-science-lead-r01570347-a0f4d13b-d04c-4767-b20c-fa2a2c364723"
apply_url: "https://jobs.lever.co/brillio-2/5a19bb4c-3cb8-4295-8252-5975cd7424da"
workplace: onsite
location: "Bangalore, Karnataka, India"
employment_type: full-time
seniority: lead
role: data
region: india
skills: ["aws", "azure", "databricks", "docker", "gcp", "kubernetes", "llm", "python", "sql", "tensorflow"]
date_posted: 2026-08-25T10:41:54.954Z
first_seen_by_remjobs: 2026-09-15T19:10:15.602Z
---

# Data Science Lead - R01570347

**Brillio** · Bangalore, Karnataka, India

Apply: https://jobs.lever.co/brillio-2/5a19bb4c-3cb8-4295-8252-5975cd7424da

## About the role

$2

##### 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**Required Skills:**

- 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

- Extensive hands-on experience with Databricks AI Agents and the Databricks ecosystem

- Experience with MLOps and LLMOps, including CI/CD, model lifecycle management, experiment tracking, and production deployment

- Proven experience deploying and operating AI/ML or GenAI models/applications in Azure, AWS, or GCP

- Expertise in RAG architectures, embeddings, vector databases/vector search, prompt engineering, and LLM evaluation

- Proficiency with LLM and GenAI frameworks/orchestration tools such as LangChain, LangGraph, Semantic Kernel, or similar technologies**Preferred Skills:**

- Experience building enterprise-grade agentic AI platforms or multi-agent systems

- Expertise with Databricks Model Serving, Vector Search, MLflow, Unity Catalog, and related Databricks AI/ML capabilities

- Experience with Kubernetes, Docker, REST APIs, microservices, and CI/CD pipelines

- Experience with managed GenAI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI

- Experience with vector databases like Pinecone, Azure AI Search, Weaviate, or Databricks Vector Search

- Experience optimizing LLM applications for latency, throughput, scalability, token consumption, and cost**Desired Qualifications:**

- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a closely related discipline

- Certification in machine learning, AI engineering, or data science from a recognized institution such as TensorFlow Developer Certificate or Databricks Certified Professional Data Scientist

- Certification in cloud platforms or MLOps, for example AWS Certified Machine Learning Specialist or Azure AI Engineer Associate

---

Source: Brillio's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/brillio-data-science-lead-r01570347-a0f4d13b-d04c-4767-b20c-fa2a2c364723