Remote Sr python ai engineer Jobs – 167 Open Jobs Today

Sr. QA Automation Engineer - Offshore
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- Remote
- Azure
- Computer Science
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4d
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Senior Python Engineer / Backend Analytics & AI Architect
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Ottometric Inc —Remote
- ₹5,00,00,000 - ₹9,00,00,000 a year
- Full-time
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Kayzen —Remote
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Python Coding Specialist - Freelance AI Trainer Project
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Techolution —Remote
- Full-time
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6d
AI Powered DevOps Engineer
Mobileprogramming PVT LTD —Remote
- ₹8,99,000 - ₹13,00,000 a year
- Full-time
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11d
Senior Data Engineer (with AI/ML experience) India
IDT —Remote
- Full-time
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- English
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Sr. Engineering Manager
Egnyte —Remote
- Full-time
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Associate Principal Engineer, AI Architect
Nagarro —Remote
- Full-time
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Full-Stack + AI Engineer
Gnani Innovations —Remote
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Senior AI Engineer – GIS Solutions (India)
Codvo.ai —Remote
- Remote
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ML Engineer
ClusterNeuron —Remote
- Up to ₹1,00,000 a month
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- Master's degree
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4d
ML / LLM Engineer
Codvo.ai —Remote
- Full-time
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AI/ML Engineer 6+ Years
Raah Techservices —Remote
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Senior AI/ML Engineer (Azure) (exp: 5+yrs)
ZecData Technology —Remote
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- Full-time
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5d

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Sr. QA Automation Engineer - Offshore

C4 Technical Services -
Remote

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Job details

Contractual / Temporary
₹5,66,962.42 - ₹13,00,000.00 a year
4 days ago

Qualifications

BCS
CI/CD
ISTQB Certification
Azure
Computer Science
Enterprise Software
DevOps
C#
Test automation
Selenium
Git
.NET
Java
SQL
AWS
Quality assurance
Bachelor's degree
JavaScript
Continuous integration
REST
Scripting
Software development
GitHub
APIs
Software testing
Agile
Integration testing
AI
TypeScript
Python
SDLC
Information Technology

Full job description

Sr. QA Automation Engineer
Contract End Date:3/21/27
India

Hands-on automation delivery and peer mentorshipAbout the RoleThe Senior Quality Assurance Automation Engineer is an experienced individual contributor responsible for designing, developing, executing, and maintaining automated tests for web, API, mobile, desktop, on-premises, and cloud-based solutions. The role applies sound quality engineering practices, contributes to reusable automation frameworks, mentors other engineers, and uses approved AI capabilities to improve testing efficiency while maintaining human review, data protection, and engineering accountability.Essential Duties

Design, code, execute, debug, and maintain reliable automated tests using Playwright and Selenium, selecting the appropriate tool and test level for the solution.
Create reusable page objects, fixtures, utilities, test data, and reporting components that support maintainable automation suites.
Develop automation beyond record-and-playback by using JavaScript or TypeScript, C#, Java, Python, or another supported programming language.
Automate functional, regression, integration, API, and end-to-end testing, and contribute to performance testing where appropriate.
Integrate automated tests into CI/CD pipelines and analyze failures to distinguish product defects, test defects, data issues, and environment issues.
Use approved generative AI and AI-assisted engineering tools to accelerate test design, test case creation, automation development, test data generation, defect analysis, and documentation.
Validate AI-generated output for correctness, security, privacy, bias, and maintainability before use in testing or delivery workflows.
Partner with development, product, infrastructure, and QA team members to apply shift-left, risk-based, and continuous testing practices.
Mentor QA engineers through code reviews, pairing, demonstrations, and practical guidance on automation and AI-assisted testing.
Communicate automation progress, quality risks, coverage, and results to delivery stakeholders.

Technical Skills

Hands-on proficiency with Playwright and Selenium for modern web application automation.
Strong programming or scripting skills, preferably in JavaScript or TypeScript, C#, Java, or Python.
Hands-on experience with API testing and automation using tools and standards such as Postman, REST, and OpenAPI/Swagger.
Strong SQL and data-validation skills for back-end and integration testing.
Experience with source control, pull requests, Azure DevOps or comparable platforms, test management, and defect tracking.
Practical experience using generative AI or AI coding assistants (e.g., Microsoft Copilot, GitHub Copilot, or comparable tools) within software testing workflows.
Understanding of automated quality gates, test reporting, traceability, and reliable test design.
Strong knowledge of Agile delivery, software development lifecycle practices, and quality engineering principles.

Experience and Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
Typically 3 to 5 years of software quality assurance, test automation, or quality engineering experience.
Proven hands-on experience building and maintaining automated test suites for enterprise applications.
Experience automating solutions hosted in Microsoft Azure, AWS, or another cloud environment is preferred.

Leadership Expectations

Remains primarily accountable for hands-on automation delivery within assigned products and features.
Mentors peers and may guide small project-based testing efforts, but does not own enterprise automation strategy or people-management responsibilities.
Escalates framework, tooling, governance, and cross-team standards decisions to the Lead Engineer or QA Manager as appropriate.

Preferred Qualifications

ISTQB or comparable quality certification.
Experience with accessibility, visual, mobile, or performance test automation.
Experience with AI-enabled quality engineering use cases and responsible AI practices.

Role DifferentiationDimensionSenior EngineerLead EngineerQA ManagerPrimary focusHands-on delivery for assigned products and featuresTechnical direction, frameworks, and enablement across teamsPeople leadership, portfolio strategy, governance, and outcomesAutomation depthBuilds and maintains tests; contributes to frameworksArchitects and codes reusable frameworks, patterns, and pipeline integrationsSets expectations and reviews direction; hands-on depth preferred, not primary accountabilityAI leverageUses approved AI tools to accelerate individual testing workDefines repeatable AI-assisted engineering practices and coaches teamsGoverns responsible adoption, investment, capability, and measurable valueLeadership scopeMentors peers and may guide small delivery effortsLeads technical work across teams without requiring people-management accountabilityManages and develops people; aligns stakeholders and delivery priorities

Pay: ₹566,962.42 - ₹1,300,000.00 per year

Work Location: Remote

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sr python ai engineer jobs in remote

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