Jarod Vadodara Gujarat System engineer Jobs – 98 Open Jobs Today

Lead AI/ML Engineer
SRV Jansampark Kendra —Vadodara, Gujarat
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
4d
Database Administrator (DBA)
Matrix Comsec —Vadodara, Gujarat
- Weekend availability
- Computer Science
- Windows
- Master's degree
- Health insurance
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Java Engineer (JAVA/J2EE)
Phonon Communications —Vadodara, Gujarat
- Azure
- Java
- SQL
Plant Maintenance Engineer(Contract)
Saaki Argus & Averil Consulting —Vadodara, Gujarat
- Microsoft Excel
- Master's degree
- AI
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Senior User Experience Designer IV (7-15 years)
MRI Software —Vadodara, Gujarat
- Full-time
- Research
- AI
OSI PI (Contract)
Saaki Argus & Averil Consulting —Vadodara, Gujarat
- SQL
- APIs
- Communication skills
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Senior Web AI Lead
IQ - Hub —Vadodara, Gujarat
- From ₹60,000 a month
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
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Database Engineer
Docsvault —Vadodara, Gujarat
- Full-time
- Bachelor's degree
Data Governance Specialist
Brentwood Industries Inc. —Vadodara, Gujarat
- Full-time
- Computer Science
- Master's degree
- Analysis skills
10d
Data Tester
Civica —Vadodara, Gujarat
- Part-time
- Remote
- Microsoft Excel
- Azure
- Oracle
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2d
SCCM Administrator
SI2 Tech —Vadodara, Gujarat
- Full-time
- Software troubleshooting
- Windows
- Scripting
Jr.QA sit
TAB AND SPACE DIGITAL PVT. LTD. —Vadodara, Gujarat
- ₹12,000 - ₹20,000 a month
- Full-time
- In-person
- Communication skills
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Palo Alto SME
Saaki Argus & Averil Consulting —Vadodara, Gujarat
- Microsoft Access
- Azure
- Master's degree
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V&V Engineer
A&W Engineering Works —Vadodara, Gujarat
- Full-time
- System design
- C++
- Software development
System Completion Admin - Vadodara
Saaki Argus & Averil Consulting —Vadodara, Gujarat
- Bachelor's degree
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Lead AI/ML Engineer

SRV Jansampark Kendra
Vadodara, Gujarat

Quick apply

Job details

Full-time
₹15,00,000 - ₹25,00,000 a year
4 days 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

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.
Design 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 & Collaboration
Proven 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, BCA

Required 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.

Interested Candidates can share Profile at [email protected]

** Starvoke (SRV JanSampark Kendra) Never charge for The Job vacancies

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

Work Location: In person

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Refine Your Search

system engineer jobs in jarod vadodara gujarat

Lead AI/ML Engineer

Database Administrator (DBA)

Java Engineer (JAVA/J2EE)

Plant Maintenance Engineer(Contract)

Senior User Experience Designer IV (7-15 years)

OSI PI (Contract)

Senior Web AI Lead

Database Engineer

Data Governance Specialist

Data Tester

SCCM Administrator

Jr.QA sit

Palo Alto SME

V&V Engineer

System Completion Admin - Vadodara

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