AdTechTalent
Engineering1 month agoHybrid

Merkle

Manager - Data Science

pythonllmfastapiapiprompt engineeringmulti-agent orchestrationdocument processingembeddingdata sciencearizeopentelemetrylangchainllamaindexsemantic kernelmachine learningaiproductionscalable systems

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Mumbai, India

Full job description

Design and maintain production-ready AI systems supporting media products. Collaborate with teams to translate business needs into scalable technical solutions. Deploy and scale systems focusing on reliability and performance. Continuously improve models using real-world data. Research and prototype AI/ML advancements. Apply fairness, transparency, privacy, and compliance standards in AI systems. Requires Master's degree in CS or related field, strong Python skills, experience with LLM orchestration libraries (LangChain, LlamaIndex, Semantic Kernel), enterprise LLM APIs, RESTful API development with FastAPI, techniques to improve LLM output quality, document processing workflows, AI system monitoring, and strong data science foundation.

What you'll do

  • Build AI solutions by designing and maintaining production-ready systems that support media products
  • Collaborate with cross-functional teams to translate business needs into scalable technical solutions
  • Deploy and scale systems in production environments focusing on reliability, performance, and global impact
  • Continuously improve models using real-world performance data and feedback loops
  • Research AI and ML advancements and prototype solutions to enhance products
  • Promote responsible AI by applying fairness, transparency, privacy, and compliance standards in system design

Requirements

  • Master’s degree in computer science, engineering, or a related field
  • Strong Python skills
  • Experience with LLM orchestration libraries such as LangChain, LlamaIndex, or Semantic Kernel
  • Experience working with enterprise LLMs and their APIs
  • Production experience building and integrating APIs, including RESTful API conventions and tools such as FastAPI
  • Experience improving LLM output quality using prompt engineering, multi-agent orchestration, structured output validation, hybrid RAG, in-context learning
  • Proficiency in document processing workflows including text extraction, chunking, and embedding
  • Experience monitoring and improving AI systems; familiarity with tracing tools such as Arize, OpenTelemetry, or LangSmith
  • Strong foundation in data science including statistical methods and working with structured and unstructured data

Tech stack

PythonLangChainLlamaIndexSemantic KernelEnterprise LLM APIsFastAPIRESTful APIsPrompt EngineeringMulti-agent OrchestrationStructured Output ValidationHybrid RAGIn-context LearningDocument ProcessingText ExtractionChunkingEmbeddingArizeOpenTelemetryLangSmithData ScienceStatistical Methods

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