Remote India Data scientist Jobs – 117 Open Jobs Today

Azure Devops, Python, Gen AI
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Software troubleshooting
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Sr. ML Engineer
Fusemachines —Remote
- Full-time
- Remote
- Azure
- DevOps
- Engineering
ML Engineer
Delphic Global —Remote
- ₹16,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
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6h
AI/ML Expert
Third eye info technologies —Remote
- ₹4,09,194.83 - ₹16,94,864.16 a year
- Full-time
- Remote
- Azure
- Computer Science
- Java
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7h

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Azure Devops, Python, Gen AI

WebSenor InfoTech -
Remote

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Job details

Full-time

Qualifications

CI/CD
Azure
Law
Computer Science
Software troubleshooting
Kubernetes
Software deployment
DevOps
NumPy
Git
Master's degree
Databases
SQL
Pandas
Docker
Bachelor's degree
Terraform
Continuous integration
REST
Django
Software development
GitHub
APIs
Agile
Data science
Flask
AI
Communication skills
Python
Debugging
Information Technology

Full job description

Job Description – Azure DevOps & GenAI DeveloperPosition: Azure DevOps & GenAI Developer

About the Role

We are looking for a skilled Azure DevOps & GenAI Developer with strong hands-on experience in Azure DevOps, Python, and Generative AI.

The ideal candidate will be responsible for developing Python-based applications and AI solutions, implementing CI/CD pipelines using Azure DevOps, and integrating Generative AI capabilities into scalable and production-ready applications.

Key Responsibilities

Design, develop, test, and maintain Python-based applications and services.
Develop and integrate Generative AI / GenAI solutions for business use cases.
Build and manage CI/CD pipelines using Azure DevOps.
Automate build, testing, deployment, and release processes.
Manage source code repositories, branching strategies, and version control using Azure DevOps/Git.
Deploy and maintain applications across Microsoft Azure environments.
Integrate AI/GenAI models and APIs into enterprise applications.
Develop Python scripts for automation, data processing, deployment, and infrastructure-related tasks.
Implement automated testing and quality checks within CI/CD pipelines.
Monitor application deployments, troubleshoot issues, and improve system reliability.
Work with development, data, AI/ML, and infrastructure teams to deliver production-ready solutions.
Implement secure and scalable DevOps practices for AI applications.
Optimize application performance and deployment workflows.
Maintain technical documentation for applications, pipelines, and deployment processes.
Stay updated with emerging Generative AI, Azure, Python, and DevOps technologies.

Required Technical SkillsAzure DevOps

Strong hands-on experience with Azure DevOps.
Experience creating and managing CI/CD pipelines.
Knowledge of Azure Repos, Pipelines, Boards, and Artifacts.
Experience with YAML-based pipeline configuration.
Strong understanding of Git, branching, merging, and pull requests.
Experience automating build, test, and deployment processes.
Troubleshooting and optimizing CI/CD pipelines.
Understanding of DevOps best practices and Agile development methodologies.

Python

Strong programming experience in Python.
Experience developing automation scripts, applications, APIs, and backend services.
Knowledge of Python frameworks such as FastAPI, Flask, or Django is preferred.
Experience working with REST APIs and third-party integrations.
Good understanding of Python testing and debugging.
Knowledge of data processing libraries such as Pandas and NumPy is an advantage.

Generative AI

Hands-on experience with Generative AI / GenAI applications.
Understanding of Large Language Models (LLMs) and AI-powered applications.
Experience with prompt engineering and LLM APIs.
Knowledge of Retrieval-Augmented Generation (RAG) is preferred.
Understanding of embeddings and vector databases is an advantage.
Experience with Azure-based AI services such as Azure OpenAI is a plus.
Familiarity with frameworks such as LangChain or LlamaIndex is preferred.
Ability to integrate GenAI capabilities into enterprise applications.

Preferred Skills

Microsoft Azure cloud services.
Azure OpenAI / Azure AI services.
Python APIs using FastAPI or Flask.
Docker and containerization.
Kubernetes / AKS.
Infrastructure as Code using Terraform or ARM/Bicep.
Azure Functions.
Azure Storage and Azure SQL.
REST APIs and microservices.
Git/GitHub/Azure Repos.
Automated testing.
Application monitoring and logging.
RAG pipelines and vector databases.
LLM evaluation and monitoring.
AI application security and responsible AI practices.

Educational Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.
Relevant Azure, DevOps, Python, or AI/GenAI certifications will be an advantage.

Experience

3–6 years of experience in Software Development, DevOps, Cloud Engineering, AI/ML, or related fields.
Strong hands-on experience with Azure DevOps and Python.
Practical experience developing or integrating Generative AI solutions.
Experience working with cross-functional development and technology teams.
Experience deploying and maintaining production applications in cloud environments.

Key Competencies

Strong programming and problem-solving skills.
Good understanding of DevOps and CI/CD principles.
Strong Python development and automation capabilities.
Practical understanding of Generative AI and LLM-based solutions.
Ability to build scalable and reliable cloud applications.
Strong troubleshooting and debugging skills.
Good communication and collaboration skills.
Ability to work independently and take ownership of technical initiatives.

Work Location: Remote

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