Harnham · 4 hours ago
Machine Learning Engineer - GenAI
Harnham is seeking a seasoned Machine Learning Engineer specializing in GenAI products with a core focus on end-to-end deployment. The role involves building, fine-tuning, and deploying LLM-powered and Retrieval-Augmented Generation systems for production use cases, while collaborating with product and engineering partners to optimize performance and reliability.
Responsibilities
Build, fine-tune, and deploy LLM-powered and Retrieval-Augmented Generation (RAG) systems for production use cases
Design and maintain end-to-end ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring
Productionize models using Azure-based services (e.g., Azure OpenAI, Azure AI Search, Azure ML, or equivalent tooling)
Collaborate with product and engineering partners to define requirements, success metrics, and model behaviour in real applications
Optimize inference performance, reliability, and cost for large-scale, user-facing AI systems
Improve evaluation frameworks, feedback loops, and continuous learning workflows to raise model quality over time
Stay current with emerging GenAI techniques and help apply them pragmatically in production environments
Qualification
Required
5+ years of experience in Machine Learning with a core focus on RAG, LLM, and GenAI solutions
Experience designing models and deploying them into production
Extensive experience in Python
Experience in a variety of ML tools like Huggingface, Pytorch, Tensorflow, OpenAI
Strong skills with Azure
Mentorship or leadership experience
Company
Harnham
Harnham has actively chosen to focus on Data and Analytics.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
BGF Ventures
2022-05-01Seed
Recent News
Company data provided by crunchbase