Kubadthal Ahmedabad Gujarat Aws cloud engineer Jobs – 153 Open Jobs Today

Senior AI Engineer
F(x) Data Labs PVT LTD —Ahmedabad, Gujarat
- ₹5,00,000 - ₹11,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AI/ML Engineer
Kody Technolab —Ahmedabad, Gujarat
- Call employer
- Azure
- Computer Science
- Master's degree
Cloud Architect
Proclink —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- Master's degree
AI/ML Engineer
Esparkinfo Solution —Ahmedabad, Gujarat
- Up to ₹12,00,000 a year
- Full-time
- Computer Science
- Java
- Master's degree
- Paid time off
- Flexible schedule
Quick apply
9d
Sr. DevOps Engineer
TechFlitter Solutions Pvt. Ltd. —Ahmedabad, Gujarat
- ₹50,000 - ₹65,000 a month
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
14d
IT Infrastructure Engineer
KPC Techno Vision Private Limited —Ahmedabad, Gujarat
- ₹30,000 - ₹50,000 a month
- Full-time
- Computer Science
- Windows
- AWS
- Health insurance
Quick apply
Senior AI/ ML Engineer
kody technolab —Ahmedabad, Gujarat
- ₹6,65,828.01 - ₹19,31,110.83 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
2d
Senior Cloud Engineer
Loopio Inc. —Ahmedabad, Gujarat
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
- Work from home
DevOps Engineer
Creole Studios —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- Paid time off
14d
DevOps Engineer
Steigen Elevators —Ahmedabad, Gujarat
- ₹40,000 - ₹60,000 a month
- Full-time
- Azure
- DevOps
- AWS
Quick apply
9d
Intern with Expert Python & JavaScript, JQuery - Fresher
XAMTA INFOTECH —Jagatpur, Ahmedabad, Gujarat
- ₹9,000 a month
- Full-time
- Azure
- Computer Science
- English
Quick apply
AI/ML Engineer
EXCELLENT WEBWORLD —Ahmedabad, Gujarat
- Azure
- AWS
- Machine learning
7d
Sr. Engineer I - Cloud Engg & AI
Anblicks —Ahmedabad, Gujarat
- Azure
- DevOps
- Windows
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
AI Tech Lead
Simform —Ahmedabad, Gujarat
- Full-time
- Remote
- Computer Science
- System design
- Master's degree
Data Engineer
eSparkBiz Technologies Pvt. Ltd —Ahmedabad, Gujarat
- ₹5,09,356.57 - ₹11,66,829.63 a year
- Full-time
- Azure
- Java
- SQL
- Paid time off
Quick apply
2d
CQ10127-Cloud Engineer – OCI (Oracle Cloud Infrastructure)
Conneqtion Careers —Ahmedabad, Gujarat
- Azure
- Oracle
- Computer Science
Quick apply
Senior Cloud & Devops Architect
Zymr —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- DevOps
DevOps Engineer
PixelQue Software —Ahmedabad, Gujarat
- Software troubleshooting
- DevOps
- AWS
Network Security Engineer
Amity Infosoft Pvt. Ltd. —Ahmedabad, Gujarat
- Up to ₹6,00,000 a year
- Full-time
- Azure
- AWS
- In-person
- Paid time off
- Paid sick time
Quick apply

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Senior AI Engineer

F(x) Data Labs PVT LTD
Ahmedabad, Gujarat

Quick apply

Job details

Full-time
₹5,00,000 - ₹11,00,000 a year

Benefits

Provident Fund

Qualifications

TensorFlow
CI/CD
Azure
Law
Computer Science
Software deployment
NumPy
Master's degree
Pandas
AWS
Bachelor's degree
Machine learning
Continuous integration
Deep learning
Natural language processing
APIs
Data science
AI
Python

Full job description

Job Overview:

We are seeking an AI Engineer (Level 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs.

Key Responsibilities:

Design and Develop AI Solutions: Build advanced AI and NLP solutions focusing on large language models. Experiment with state-of-the-art Transformer architectures (e.g., BERT, GPT, LLaMA) to address complex language understanding and generation tasks.
LLM Implementation: Leverage modern AI frameworks and tools (such as LangChain, Hugging Face Transformers, OpenAI APIs, PyTorch, TensorFlow) to develop, fine-tune, and integrate LLMs into applications. Ensure models are optimized and efficient for production use.
Advanced NLP Techniques: Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in our solutions.
Prompt Engineering & Fine-Tuning: Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Experiment with prompt strategies and training techniques to optimize generative models.
Production Deployment & MLOps: Deploy and scale models in production environments, ensuring reliability and low-latency performance. Implement MLOps best practices (CI/CD pipelines, model monitoring, version control) to achieve robust, repeatable model deployments.
Cloud AI Integration: Utilize AI/ML cloud services (AWS, GCP, Azure) for model training, deployment, and infrastructure management. Optimize cloud resources to handle large-scale training and inference efficiently.
Model Optimization & Scaling: Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage.
Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI capabilities into products and solutions. Collaborate in cross-functional teams to gather requirements, brainstorm ideas, and ensure AI systems meet client needs and quality standards.
Innovation and Research: Stay up-to-date with the latest AI research, papers, and trends in the industry. Proactively experiment with new algorithms, models, and techniques to keep our solutions at the cutting edge.

Required Qualifications:

Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience), plus 4+ years of hands-on experience in AI/ML engineering or a similar role.
Deep Learning & LLM Expertise: Strong foundation in deep learning and NLP, with experience in transformer-based architectures and large language models (e.g., BERT, GPT series, LLaMA).
Programming & Frameworks: Proficiency in Python programming and experience with major AI/ML frameworks and libraries – e.g., PyTorch, TensorFlow, and data libraries like NumPy, Pandas, scikit-learn. Familiarity with NLP/LLM tools such as Hugging Face Transformers, LangChain, and OpenAI APIs is highly desired.
NLP & Generation: Proven experience developing NLP solutions, including working on text generation, summarization, conversational AI, or retrieval-augmented generation (RAG) systems.
Model Tuning: Hands-on skills in prompt engineering and fine-tuning LLMs or other deep learning models to adapt them for specific tasks or domains. Experience with transfer learning and hyperparameter tuning for model optimization.
Deployment & Cloud: Experience deploying machine learning models into production environments. Familiarity with deploying

Job Type: Full-time

Pay: ₹500,000.00 - ₹1,100,000.00 per year

Benefits:

Provident Fund

Education:

Bachelor's (Required)

Experience:

Python: 3 years (Required)
Data science: 4 years (Required)

Location:

Ahmedabad, Gujarat (Preferred)

Work Location: Hybrid remote in Ahmedabad, Gujarat

Quick apply

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