LLM Ops Engineer at Pattern

Pune, Maharashtra, India

Pattern Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

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: expected to frequently collaborate with other teams to help perfect their AI workflows
  • 3-5 years of experience in LLM/AI Ops, MLOps, Data Science, or MLE

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
  • 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

Skills

Python
OpenAI
Anthropic
Bedrock
AWS
Prompt Engineering
BLEU
WER
Sentiment Analysis
LLM-as-judge
MLOps
LLM Ops
Opik
CometML

Pattern

Ecommerce acceleration and competitive analysis

About Pattern

Pattern.com focuses on ecommerce acceleration, particularly on Amazon, by providing a free digital shelf management software that analyzes data from millions of searches and products. This tool uses machine learning to give brands insights into their competition, helping them optimize their product listings. Unlike competitors, Pattern.com offers both free tools and premium services, including market insights and consultancy, to help brands grow on Amazon. The company's goal is to empower brands to enhance their visibility and sales on one of the largest online marketplaces.

Lehi, UtahHeadquarters
2013Year Founded
$269.4MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Consulting, Consumer GoodsIndustries
1,001-5,000Employees

Risks

Increased competition from AI-driven ecommerce platforms could erode Pattern's market share.
The rapid growth of Amazon's third-party sellers may dilute Pattern's service effectiveness.
The partnership with Giggster may divert focus from core ecommerce services.

Differentiation

Pattern offers a free digital shelf management tool for Amazon sellers.
The company uses machine learning to provide customized insights for product optimization.
Pattern's premium services include deep market insights and patented technology solutions.

Upsides

Pattern was named one of the World's Most Innovative Companies in 2024.
The launch of the Shelf inventory solution expands Pattern's service offerings.
Pattern's AI models enhance seller performance across multiple retail marketplaces.

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