We are seeking a highly skilled Machine Learning Engineer to join our growing AI team.
As an ML Engineer, you will be responsible for designing, training, fine-tuning, and deploying ML/LLM models that power autonomous exception resolution, anomaly detection, and explainable insights.
Key Responsibilities:
* Design and develop ML/LLM models for production.
* Build retrieval-augmented generation pipelines using vector databases and frameworks.
* Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Collaborate with data engineering teams to maintain data pipelines for ML workloads.
Required Qualifications:
* Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
* 3+ years building and deploying ML systems.
* Strong Python skills and experience with PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
* Familiarity with LLMs/SLMs including fine-tuning, prompt design, and inference optimization.
Preferred Qualifications:
* Experience with agentic frameworks like LangChain, LangGraph, MCP, AutoGen.
* Understanding of AI safety, guardrails, and explainability.
UST offers a dynamic work environment and opportunities for professional growth.
As a Machine Learning Engineer at UST, you will have the chance to contribute to cutting-edge projects and collaborate with a talented team of engineers and researchers.