AI/ML Engineer with GIS and cloud

TAO Digital Solutions; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

TAO Digital Solutions is seeking an AI/ML Engineer with GIS expertise in Mumbai for an immediate start. The role focuses on GIS and geospatial data science, spatial AI, and agentic AI solutions on AWS.

Proficiency in Python and ML frameworks is essential, with hands-on work on LLMs, vector databases, and responsible AI practices. The ideal candidate will have strong programming fundamentals, experience in cloud platforms like AWS, REST APIs, and microservices, and a passion for building scalable

Qualifications

• Experience in GIS, Geospatial Data Science / Spatial AI.
• Agentic AI solutions on AWS.
• Knowledge of LLM evaluation, hallucination mitigation, guardrails, responsible AI practices.

Skills

Python

Software engineering

Data structures

Algorithms

Distributed computing

TensorFlow

PyTorch

Scikit-learn

NLP

Computer Vision

Agentic AI

LangChain

LangGraph

Haystack

Vector databases

AWS

REST APIs

Microservices

Geospatial data

GIS

Tools

LangChain

LangGraph

Haystack

Job description

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