> Markdown version of [/jobs/ext/41056-ml-platform-engineer](https://www.wearedevelopers.com/jobs/ext/41056-ml-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Platform Engineer - **Company:** OpenKyber LLC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** 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, Generative AI, Artificial Intelligence Markup Language (AIML) - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=64bb9150665e1aad ## About the Role * 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 ## 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 ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)