Brillio
Brillio
Brillio एक प्रौद्योगिकी परामर्श कंपनी है, जो स्वास्थ्य सेवा, बीमा, लॉजिस्टिक्स, वित्तीय सेवाओं, दूरसंचार और मीडिया, जीवन विज्ञान तथा खुदरा क्षेत्र के संगठनों को डिजिटल रूपांतरण की दिशा में आगे बढ़ने में सहायता करती है। इसका कार्य ग्राहक अनुभव, डेटा और एआई, जनरेटिव एआई, उत्पाद और प्लेटफ़ॉर्म इंजीनियरिंग तथा इंफ्रास्ट्रक्चर, क्लाउड और सुरक्षा जैसे क्षेत्रों में फैला हुआ है। Brillio इंजीनियरिंग विशेषज्ञता को उद्योग संबंधी ज्ञान के साथ जोड़कर डिजिटल उत्पाद विकसित करती है और प्रौद्योगिकी वातावरणों को आधुनिक बनाती है, जिससे व्यवसाय बदलती बाज़ार और प्रौद्योगिकी संबंधी मांगों के अनुरूप प्रतिक्रिया दे सकें।

Senior Data Science Lead - AI/ML and LLM | Brillio | Hybrid India

Lead enterprise AI initiatives at Brillio, developing LLM applications, agentic systems, and production machine learning solutions. Drive Databricks, MLOps, LLMOps, and cloud-based model delivery in a hybrid India role.

विवरण

  • Design and deliver advanced machine learning and AI solutions, including LLM applications and agentic systems, that solve complex business problems and produce measurable outcomes.
  • Lead the development, deployment, and operation of highly available, scalable AI/ML and GenAI models across Azure, AWS, or GCP.
  • Build and optimize AI agents and autonomous workflows with robust memory, context management, and multi-agent architectures.
  • Lead enterprise AI/ML workloads in Databricks using AI Agents, Model Serving, Vector Search, MLflow, and Unity Catalog.
  • Establish MLOps and LLMOps practices covering CI/CD, model lifecycle management, experiment tracking, evaluation, and monitoring.
  • Develop and implement RAG architectures, embeddings, vector databases, prompt engineering, and LLM evaluation frameworks.
  • Apply AI security, responsible AI, data privacy, and guardrails to address hallucinations, prompt injection, and other GenAI risks.
  • Mentor engineers and provide technical direction while partnering with cross-functional teams to deliver scalable, enterprise-grade AI solutions.

आवश्यकताएँ

  • At least eight years of experience in AI/ML engineering, machine learning, data science, software engineering, or a related field.
  • Advanced hands-on programming experience with Python.
  • Proficiency in SQL and experience working with large-scale structured and unstructured datasets.
  • Strong practical knowledge of machine learning and AI fundamentals.
  • Hands-on experience developing and deploying LLM applications.
  • Expertise in agentic AI, including orchestration, autonomous workflows, tool or function calling, planning, task decomposition, memory, and context management.
  • Extensive hands-on experience with Databricks AI Agents and the broader Databricks ecosystem.
  • Experience with MLOps and LLMOps, including CI/CD, model lifecycle management, experiment tracking, and production deployment.
  • Demonstrated experience deploying and operating AI/ML or GenAI models and applications on Azure, AWS, or GCP.
  • Expertise in RAG architectures, embeddings, vector databases or vector search, prompt engineering, and LLM evaluation.
  • Proficiency with LLM and GenAI frameworks or orchestration tools such as LangChain, LangGraph, Semantic Kernel, or comparable technologies.
  • A bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a closely related discipline is preferred but not required.
  • Certifications in machine learning, AI engineering, data science, cloud platforms, or MLOps are preferred but not required.

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