Gujarat Senior/lead ai ml engineer Jobs – 19 Open Jobs Today

Senior/Lead AI ML Engineer
JF Knowledge Centre Pvt Ltd —Vadodara, Gujarat
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
23h
Lead /Senior AI/ML Engineer
Arting Digital Private Limited —Vadodara, Gujarat
- ₹20 - ₹24 a year
- Azure
- Master's degree
- Databases
Quick apply
Senior AI/ML Engineer
Unidoc Healthcare Private Limited —Vastral, Ahmedabad, Gujarat
- ₹50,000 - ₹1,50,000 a month
- Full-time
- Research
- Machine learning
- APIs
- Work from home
- Flexible schedule
Quick apply
11d
Technical Lead - AI
E2M Solutions Pvt. Ltd. —Ahmedabad, Gujarat
- ₹25,00,000 - ₹40,00,000 a year
- Full-time
- Management
- Master's degree
- Databases
- Health insurance
- Flexible schedule
Quick apply
Senior AI/ML Engineer
Shaip —Ahmedabad, Gujarat
- Azure
- Computer Science
- Research
Senior AI Engineer
Webential Technologies Pvt Ltd —Unknown, Gujarat
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior AI Engineer
Codiste Pvt. Ltd. —Ahmedabad, Gujarat
- ₹10,00,000 - ₹18,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
Quick apply
Technical Lead - AI
E2M SOLUTIONS PRIVATE LIMITED —Ahmedabad, Gujarat
- Master's degree
- Databases
- Machine learning
Senior Web AI Lead
IQ - Hub —Vadodara, Gujarat
- From ₹60,000 a month
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
Associate Director, AI Application Engineering
S&P Global —Ahmedabad, Gujarat
- Email
- Azure
- Master's degree
- AWS
- Health insurance
- Paid time off
Technical Lead
Fitshield —Surat, Gujarat
- ₹7,00,000 - ₹10,00,000 a year
- Full-time
- AWS
- Bachelor's degree
- APIs
- Paid time off
- Work from home
Quick apply
Director, AI-Driven Applications
S&P Global —Ahmedabad, Gujarat
- Email
- Azure
- AWS
- APIs
- Health insurance
- Paid time off
Senior AI Developer
WebOsmotic —Adajan, Surat, Gujarat
- Full-time
- Azure
- Computer Science
- Master's degree
Sr. Mechanical Engineer
ATRI Solutions —Gandhinagar, Gujarat
- ₹16,371.32 - ₹62,908.30 a month
Quick apply
6d
Senior Cloud & Devops Architect
Zymr —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- DevOps
Tech Lead - Databricks & Modern Data Stack
Creole Studios —Ahmedabad, Gujarat
- Full-time
- Azure
- English
- Master's degree
14d
Sr. DevOps Engineer - Azure
Simform —Ahmedabad, Gujarat
- Full-time
- Azure
- Software troubleshooting
- DevOps
Data Practice Lead
Paul Mason Consulting India —Vadodara, Gujarat
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Full Stack .NET Developer
Rishabh Software —Vadodara, Gujarat
- Full-time
- Azure
- Master's degree
- AWS
2d

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Senior/Lead AI ML Engineer

JF Knowledge Centre Pvt Ltd
Vadodara, Gujarat

Quick apply

Job details

Full-time
₹15,00,000 - ₹25,00,000 a year
23 hours ago

Qualifications

TensorFlow
Image processing
Cloud infrastructure
Azure
Law
Kubernetes
PyTorch
Computer vision
Software deployment
R
Google Cloud Platform
Master's degree
Databases
Microservices
MCA
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Deep learning
Natural language processing
OpenCV
APIs
B.E.
Keras
Business requirements
Flask
AI
Communication skills
Python
Negotiation

Full job description

JD for Lead AI/ML Engineer

Job Title: Lead AI/ML Engineer

Job Purpose:

We are seeking a highly experienced Lead AI/ML Engineer to drive the design,

development, and deployment of advanced AI solutions across the organization. The

ideal candidate will have 6–10 years of experience in AI/ML, with strong expertise in

Generative AI, Large Language Models (LLMs), Computer Vision, and AI platform

architecture.

As a Lead AI/ML Engineer, you will define AI strategy, architect scalable AI systems,

and lead a team of engineers and data scientists to build production-ready AI

solutions. You will play a critical role in translating business problems into innovative

AI-driven products, leveraging technologies such as LLMs, Retrieval-Augmented

Generation (RAG), AI agents, and multimodal AI systems.

You will collaborate closely with Product, Engineering, and Data teams to build

intelligent, scalable, and high-performance AI platforms that power next-generation

applications.

Key Responsibilities:

AI Strategy & Technical Leadership

Lead the architecture, design, and implementation of enterprise-scale AI/ML

solutions.

Define and drive the AI/ML roadmap, ensuring alignment with business objectives

and product strategy.

Provide technical leadership and mentorship to AI/ML engineers and data scientists.
Establish best practices for AI model development, experimentation, deployment,

and monitoring.

Generative AI & LLM Systems

Design and develop Generative AI applications using LLMs such as GPT, LLaMA,

Gemini, or custom models.

Architect and implement Retrieval-Augmented Generation (RAG) pipelines for

enterprise knowledge systems.

Lead initiatives for LLM fine-tuning, prompt engineering, and model optimization.
Design AI agent architectures using frameworks like LangChain, LangGraph, and

LlamaIndex.

AI/ML Model Development:

Develop and deploy NLP, Computer Vision, and multimodal AI models for real-world

business applications.

Implement advanced deep learning architectures using PyTorch, TensorFlow, or

Keras.

Identify and evaluate pre-trained and foundation models suitable for specific use

cases.

Drive data preprocessing, feature engineering, and dataset curation for model

training.

AI Platform & InfrastructureDesign scalable AI infrastructure and MLOps pipelines for model training,

deployment, and monitoring.

Deploy AI solutions across cloud platforms (AWS, Azure, GCP) or hybrid/on-premise

environments.

Build APIs, microservices, and pipelines to integrate AI capabilities into enterprise

applications.

Lead efforts in model optimization, inference acceleration, and resource efficiency.

Performance Optimization & Quality

Conduct model evaluation, benchmarking, and continuous performance optimization.
Optimize AI systems for latency, scalability, and cost efficiency.
Implement testing, monitoring, and observability frameworks for AI systems in

production.

Collaboration & Innovation

Work closely with Product, Engineering, and Data teams to define AI-powered

product features.

Stay at the forefront of AI research and emerging technologies, evaluating their

business impact.

Promote a culture of experimentation, innovation, and knowledge sharing within the

AI team.Required Skills & Experience

AI & Machine Learning

6–10 years of experience in AI/ML development and deployment.
Strong expertise in supervised and unsupervised learning techniques, including

regression, classification, clustering, SVMs, and neural networks.

Generative AI & LLMs

Hands-on experience with LLM training, fine-tuning, prompt engineering, and

optimization.

Experience building GenAI applications such as chatbots, AI assistants, and

document intelligence systems.

NLP & Computer Vision

Strong experience in Natural Language Processing and Computer Vision.
Hands-on expertise with Transformers, OpenCV, YOLO, and R-CNN architecture.

AI Agents & Frameworks

Experience with multi-agent frameworks such as LangChain, LangGraph, and

LlamaIndex.

Deep Learning Frameworks

Proficiency in PyTorch, TensorFlow, or Keras.

Programming

Strong programming skills in Python with experience in API development and

microservices.

Cloud & AI Infrastructure

Experience deploying AI models on AWS, Azure, or Google Cloud Platform.
Familiarity with MLOps pipelines, model serving, and AI lifecycle management.

Vector Databases

Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or

Weaviate.

Performance Optimization

Experience optimizing LLM inference for speed, cost, and memory efficiency.

Leadership & CollaborationProven ability to lead AI projects and mentor engineering teams.

Strong communication skills with the ability to translate business requirements into

AI solutions.

Good to Have

Experience with multimodal AI (text, image, video, speech).
Familiarity with Docker, Kubernetes, and containerized AI deployment.
Experience with model serving frameworks such as FastAPI, Flask, or NVIDIA Triton.
Exposure to distributed training and large-scale model training pipelines.

Qualifications:

ME (IT, Computer), BE (IT, Computer), MCA, MSC-IT, BCARequired Competencies

Must possess excellent communication skills – oral and written

Must possess knowledge of latest technology trends

Must be a keen learner – should be able to drive “Self Learning”

Must practice principle of “First Time Right”

Must have an Eye for Details

Must have high Customer Orientation

Must be adaptable to working in multiple / matrix work environment

Must possess good systems thinking

Must possess good negotiation, analytical and interpersonal skills. Good leadership &

team player qualities.

High on personal integrity with ability to establish relationships and work in teams and

should be able to influence stakeholders. Should poses independence, robust ethics and

resilience.

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Work Location: In person

Quick apply

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Tech Lead - Databricks & Modern Data Stack

Sr. DevOps Engineer - Azure

Data Practice Lead

Full Stack .NET Developer

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