ML Platform Engineer

OpenKyber LLC
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Data Analysis Microsoft Azure Data Validation Machine Learning Azure Machine Learning SQL Databases Retrieval-Augmented Generation Large Language Models
+2 more
Generative AI Artificial Intelligence Markup Language (AIML)

Job description

Work closely with product development and technology project team members to help propel data products., * Improve and innovate models including statistical and machine learning techniques across various asset-classes e.g. Equities, Fixed Income etc

  • Develop predictive analytics model using AIML
  • Strong understanding of Large Language Models (LLMs), transformer architectures, embeddings, and promptbased workflows
  • Ability to evaluate and select appropriate GenAI models (opensource or commercial) for specific use cases
  • Ensure daily data quality checks in production and more

Requirements

  • Advanced degree in Financial Engineering Science with Data Science is a MUST
  • 2+ years of experience in data analysis or similar role
  • Experience in applying machine learning methods LLM / Azure AI / Open AI API, LangChain, or similar orchestration frameworks Python, SQL, Azure ML, Excel Capital Market

Desirable

  • Familiarity with finetuning, RAG (Retrieval-Augmented Generation), and model optimization techniques
  • Understanding of model governance, responsible AI principles, and risk controls for GenAI usage in financial contexts.
  • Experience of Prime Brokerage, Securities Lending , Counterparty Risk

Other Skills and Abilities

  • Excellent interpersonal skills to ensure clarity of communication to users and colleagues
  • Agile and flexible approach to delivery
  • Prioritize and structure own workload according to delivery requirements
  • A fast learner with the ability to understand, retain and apply new information quickly

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