AI/ML Engineer with GIS and cloud

corporate\_fare TAO Digital Solutions verifiedVerified Listing AI/ML Engineer with GIS and cloud location\_onIndia (On-site) schedulePosted today workFull time bar\_chartMid AIAI/MLAPIsAWSCloudCloud PlatformsData structuresDeep LearningGeospatialGeospatial Data ScienceGISGIS Data ModelingLLMMachine LearningPythonRESTREST APIsSpatial DataVector Data About The Role Greetings from TAO Digital Solutions. We are currently hiring for the position of AI/ML Engineer with GIS . Candidates who can join immediately are preferred JD: Required Skills: Experience in GIS , Geospatial Data Science / Spatial AI, Agentic AI solutions on AWS Core Technical Skills Strong programming skills in Python (preferred) or similar languages Strong understanding of software engineering fundamentals, data structures, algorithms, system design, and distributed computing concepts. Solid understanding of machine learning algorithms and statistical modeling Hands-on experience with ML frameworks such as: TensorFlow / PyTorch / Scikit-learn Experience with deep learning, NLP, or computer vision Experience into Agentic AI. AI/LLM & Advanced Capabilities Hands-On Experience with Large Language Models (LLMs) and prompt engineering Experience with frameworks like LangChain, LangGraph, Haystack, or similar Knowledge of vector databases (Pinecone, FAISS, Weaviate) and embeddings Exposure to agentic AI systems or workflow orchestration is a must Understanding of LLM evaluation, hallucination mitigation, guardrails, responsible AI practices, and model performance tracking. Familiarity with cloud platforms: AWS REST APIs and microservices architecture domain TAO Digital Solutions Leading-edge innovations and technical excellence in the geospatial domain. About The Role Greetings from TAO Digital Solutions. We are currently hiring for the position of AI/ML Engineer with GIS . Candidates who can join immediately are preferred JD: Required Skills: Experience in GIS , Geospatial Data Science / Spatial AI, Agentic AI solutions on AWS Core Technical Skills Strong programming skills in Python (preferred) or similar languages Strong understanding of software engineering fundamentals, data structures, algorithms, system design, and distributed computing concepts. Solid understanding of machine learning algorithms and statistical modeling Hands-on experience with ML frameworks such as: TensorFlow / PyTorch / Scikit-learn Experience with deep learning, NLP, or computer vision Experience into Agentic AI. AI/LLM & Advanced Capabilities Hands-On Experience with Large Language Models (LLMs) and prompt engineering Experience with frameworks like LangChain, LangGraph, Haystack, or similar Knowledge of vector databases (Pinecone, FAISS, Weaviate) and embeddings Exposure to agentic AI systems or workflow orchestration is a must Understanding of LLM evaluation, hallucination mitigation, guardrails, responsible AI practices, and model performance tracking. Familiarity with cloud platforms: AWS REST APIs and microservices architecture