In this role you will work on some of the most challenging problems at the intersection of deep learning computer vision LLM Foundation Models Agentic AI and geospatial data. You will collaborate with a cross-functional team of engineers ML scientists and map specialists to build AI systems that understand the world at scale.
BS with at least 5 years of machine learning or software engineering with recent work on LLMs or generative AI.
Strong software engineering fundamentals you have shipped production systems and know how to build clean robust reliable and maintainable code.
Shipped LLMs VLMs or other Generative AI systems at scale. Strong experience with ML and backend stack.
Hands-on experience with processing large datasets training ML models in distributed environments.
Strong experience with Python PyTorch TensorFlow JAX containerization FastAPI REST/ GraphQL Java and Scala.
Strong interpersonal collaboration and communication skills ability to work with high ambiguity and minimum supervision.
MS or PhD in Computer Science Artificial Intelligence Machine Learning or related field with 10 years of experience shipping ML models at scale.
Experience working with spatial/geospatial data.
Contributions to open-source ML/LLM tools or libraries.
Experience with frameworks like LangGraph MCP or LlamaIndex.
Understanding of retrieval-augmented generation (RAG) RLHF multi-agent workflows or LLMOps.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.