GeoSpatial Sr.Developer Java

Job summary

• Design, develop, and deploy AI/ML solutions leveraging Generative AI, Large Language Models, and machine learning techniques.
• Create applications using RAG, prompt engineering, NLP, and deep learning methods.
• Build and maintain Python-based services, integrating AI models via APIs.
• Lead work across the AI/ML lifecycle, spanning solution design and testing through to deployment.

Key responsibilities

• Develop and integrate Generative AI and LLM-driven applications.
• Implement Retrieval-Augmented Generation (RAG) workflows.
• Design, refine, and optimize prompts; evaluate and assess model performance.
• Develop machine learning and deep learning solutions, including NLP applications.
• Build Python-based applications, APIs, and system integrations.
• Use PyTorch or TensorFlow to build and implement AI/ML models.
• Test, validate, deploy, and maintain AI/ML solutions.
• Partner with engineering and business teams to convert requirements into AI solutions.
• Identify and explore automotive use cases, applying AI/ML techniques where applicable.