Data Science Lead

Brillio
Bengaluru, Karnataka
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Technical leadership","Mentoring","Collaboration","Responsible AI","Problem-solving"]

Lead the design, deployment, and operations of production AI/ML and GenAI solutions, including LLM-based applications, agentic systems, and RAG architectures. Own end-to-end MLOps/LLMOps practices—CI/CD, model lifecycle management, experiment tracking, evaluation, and monitoring—across Azure, AWS, or GCP. Drive Databricks ecosystem adoption (AI Agents, Model Serving, Vector Search, MLflow, Unity Catalog) while ensuring responsible AI, data privacy, and guardrails, and mentor engineers.

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FursaFursa
Brillio
Brillio
1 day ago

Data Science Lead

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Last checked: 22 hours agoStatus: Live

Job Summary

Lead the design, deployment, and operations of production AI/ML and GenAI solutions, including LLM-based applications, agentic systems, and RAG architectures. Own end-to-end MLOps/LLMOps practices—CI/CD, model lifecycle management, experiment tracking, evaluation, and monitoring—across Azure, AWS, or GCP. Drive Databricks ecosystem adoption (AI Agents, Model Serving, Vector Search, MLflow, Unity Catalog) while ensuring responsible AI, data privacy, and guardrails, and mentor engineers.
Location: Bengaluru, Karnataka
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement advanced machine learning and AI solutions, including LLM-based applications and agentic AI systems, to deliver measurable business outcomes.
  • •Lead the development, deployment, and operation of production AI/ML and GenAI models across major cloud platforms (Azure, AWS, GCP) ensuring high availability and scalability.
  • •Build, orchestrate, and optimize AI agents and autonomous workflows, including memory, context management, and multi-agent architectures.
  • •Drive enterprise AI/ML workloads within the Databricks ecosystem using Databricks AI Agents, Model Serving, Vector Search, MLflow, and Unity Catalog.
  • •Establish MLOps and LLMOps practices (CI/CD, model lifecycle management, experiment tracking, evaluation, monitoring) and ensure responsible AI, data privacy, and GenAI guardrails; mentor engineers and provide technical leadership.

Key Requirements

  • •At least 8 years of experience in AI/ML engineering, machine learning, data science, or related software engineering fields.
  • •Advanced hands-on programming in Python and strong fundamentals of machine learning and AI.
  • •Hands-on experience building and deploying LLM-based applications and agentic AI systems (orchestration, autonomous workflows, tool/function calling, planning, memory/context).
  • •Experience deploying and operating AI/ML or GenAI models/applications in Azure, AWS, or GCP.
  • •Strong knowledge of MLOps/LLMOps (CI/CD, model lifecycle, experiment tracking, monitoring) and building RAG systems (embeddings, vector databases/vector search, prompt engineering, LLM evaluation).
Experience:8+ yearsAI/MLGenAILLMsMLOpsLLMOpsDatabricks ecosystemRAGAgentic AI
Education:Bachelor's in Computer Science, Data Science, Artificial Intelligence, Information Technology, or related discipline
Skills:Technical leadershipMentoringCollaborationResponsible AIProblem-solving
Certifications:TensorFlow Developer CertificateDatabricks Certified Professional Data ScientistAWS Certified Machine Learning SpecialistAzure AI Engineer Associate
Tech Stack:PythonSQLAzureAWSGCPDatabricksDatabricks AI AgentsModel ServingVector SearchMLflowUnity CatalogLLMOpsMLOpsCI/CDKubernetesDockerREST APIsMicroservicesLangChainLangGraph

Company Brief

Brillio
Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Santa Clara, United States
Founded: 2014
WebsiteLinkedIn