AL/ML Engineer

The hiring company is confidential. The AL/ML Engineer will build and deploy machine learning systems at scale, including LLM-based products, and contribute across research, production deployment, and iteration.

Responsibilities

• Design, train, and deploy machine learning models for production use at scale
• Work on LLM-based systems — from fine tuning to building agents and evaluation pipelines
• Collaborate with engineers and product teams to scope problems, define success metrics, and build robust evaluation frameworks
• Mitigate LLM challenges: address biases, hallucinations, and knowledge cutoff limitations to improve trust and performance
• Optimize models for latency, accuracy, and scalability in real-world applications
• Contribute to end-to-end product development — from research to deployment to iteration

Skills

• 2+ years of experience in Machine Learning and/or Data Science, with a track record of shipping ML systems into production
• Strong understanding of Machine Learning and Deep Learning libraries, such as Scikit Learn, Keras, TensorFlow, PyTorch, Theano, or DyLib
• Deep expertise in at least one of: the following:
• Search / retrieval / ranking or recommendation systems
• Generative AI product development (shipping beyond demos, building evals, problem scoping)
• LLM agent products
• LLM fine tuning
• Practical understanding of LLM limitations (bias, hallucinations, knowledge cutoffs)
• Experience working at an early-stage startup or on 0→1 product launches
• Comfort with both research prototyping and production-grade engineering

Company Overview

Company H1B Sponsorship