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Job Description

Description

ML engineer with expertise in data wrangling, handling, model evaluation, and selection etc., AI know-how (GenAI solution space) is essential.

Experienced in building systems that automate decision-making across vendor catalogues, product selection, and cost :

  • Turn ambiguous product problems into working AI systems in production
  • Evaluate and choose the right approach: embeddings, RAG, fine-tuning, or classical ML
  • Build end-to-end pipelines [Data ingestion cleaning feature engineering, Model development evaluation deployment]
  • Develop core capabilities like Semantic search, Product recommendations & intelligent substitutions
  • Cost prediction and optimization models
  • Partner closely with product and engineering to ship fast and iterate based on real usage
  • Continuously improve models using feedback loops and performance monitoring

Required Skills / Qualifications

  • 5 to 8 years of experience in applied AI/ML
  • Strong Python skills and hands-on experience with ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience working with [LLMs (fine-tuning, RAG, prompt design), Embeddings and vector search]
  • Ability to make practical decisions on :
  • Model selection [Accuracy vs latency vs cost trade-offs, Experience deploying models into production environments]
  • Comfortable working with messy, real-world data
  • Familiarity with tools like LangChain, LlamaIndex, Pinecone, or Weaviate

(ref:hirist.tech)

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Job ID: 147468711

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