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„Brillio“ yra technologijų konsultavimo įmonė, padedanti organizacijoms įgyvendinti skaitmeninę transformaciją sveikatos priežiūros, draudimo, logistikos, finansinių paslaugų, telekomunikacijų ir žiniasklaidos, gyvybės mokslų bei mažmeninės prekybos srityse. Įmonės veikla apima klientų patirtį, duomenis ir dirbtinį intelektą, generatyvųjį dirbtinį intelektą, produktų ir platformų inžineriją, taip pat infrastruktūrą, debesiją ir saugumą. „Brillio“ derina inžinerinę kompetenciją su pramonės šakų išmanymu, kad kurtų skaitmeninius produktus ir modernizuotų technologijų aplinkas, padėdama įmonėms reaguoti į besikeičiančius rinkos ir technologijų poreikius.
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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.

INIndijaHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas
AWSAzureDebesijaGoogle Cloud PlatformPythonSQLUnity

Aprašymas

  • 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.

Reikalavimai

  • 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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