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Llm Ops Engineeropenai Or Anthropic Or Bedrock) And (aws) And (llm Or @ Pattern Technologies

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Pattern Technologies  Llm Ops Engineeropenai Or Anthropic Or Bedrock) And (aws) And (llm Or

Job Description

Role Overview :-

Monitor, evaluate, and optimize AI/LLM workflows in production environments. Ensure reliable, efficient, and high-quality AI system performance by building out an LLM Ops platform that is self-serve for the engineering and data science departments.

Key Responsibilities:-

  • Collaborate with data scientists and software engineers to integrate an LLM Ops platform (Opik by CometML) for existing AI workflows
  • Identify valuable performance metrics (accuracy, quality, etc) for AI workflows and create on-going sampling evaluation processes using the LLM Ops platform that alert when metrics drop below thresholds
  • Cross-team collaboration to create datasets and benchmarks for new AI workflows
  • Run experiments on datasets and optimize performance via model changes and prompt adjustments
  • Debug and troubleshoot AI workflow issues
  • Optimize inference costs and latency while maintaining accuracy and quality Develop automations for LLM Ops platform integration to empower data scientists and software engineers to self-serve integration with the AI workflows they build

Requirements:-

  • Strong Python programming skills
  • Experience with generative AI models and tools (OpenAI, Anthropic, Bedrock, etc)
  • Knowledge of fundamental statistical concepts and tools in data science such as: heuristic and non-heuristic measurements in NLP (BLEU, WER, sentiment analysis, LLM-as-judge, etc), standard deviation, sampling rate, and a high level understanding of how modern AI models work (knowledge cutoffs, context windows, temperature, etc)
  • Familiarity with AWS
  • Understanding of prompt engineering concepts
  • People skills: you will be expected to frequently collaborate with other teams to help to perfect their AI workflows

Experience Level 3-5 years of experience in LLM/AI Ops, MLOps, Data Science, or MLE


Job Classification

Industry: Internet (E-Commerce)
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Pattern Technologies
Location(s): Pune

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Keyskills:   aws Machine Learning bedrock bleu wer anthropic rag Sentiment Analysis llm open ml

 Fraud Alert to job seekers!

₹ 20-35 Lacs P.A

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Pattern Technologies

Pattern is the premier partner for global e-commerce acceleration and is headquartered in Utah's Silicon Slopes tech hubwith offices in Asia, Australia, Europe, the Middle East, and North America. Valued at $2 billion, Pattern has been named one of the fastest-growing tech companies in North Amer...