Bengaluru Karnataka Remote pilot Jobs – 54 Open Jobs Today

AI Testing
BCE Global Technology Centre —Bengaluru, Karnataka
- Remote
- Azure
- Salesforce
- English
- Health insurance
- Flexible schedule
8d
Associate Value Engineering - Orbit India
Celonis —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
- Paid time off
9d
Founder Intern - AI/ML -Deeptech - Candidates from TIER 2 Cities
VEDANTA MOBILITY —Bangalore City, Bengaluru, Karnataka
- ₹1 - ₹2 a month
- Hybrid work
- Research
- Machine learning
- AI
- Flexible schedule
Quick apply
Business Development Manager (Enterprise Growth) – GRK Ads
GRK Technologies —Bengaluru, Karnataka
- ₹50,000 - ₹1,00,000 a month
- Full-time
- Hybrid work
- Business development
- Health insurance
- Cell phone reimbursement
Quick apply
9d
Water Management Lead
JLL —Bengaluru, Karnataka
- Bachelor's degree
- Plumbing
- Training & development
- Health insurance
USI - FY27 - Cyber Enterprise Security - Zscaler - LSA
Deloitte —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Intern - Executive Assistant - AI/ML & Strategic Planning
Vedanta Mobility —Bangalore City, Bengaluru, Karnataka
- ₹1 - ₹2 a month
- Email
- Hybrid work
- Sales
- Customer service
- English
- Flexible schedule
Quick apply
6d
Zscaler - Senior Consultant
Deloitte —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
SR MGR SUPPLY CHAIN
TE Connectivity —Bengaluru, Karnataka
- Engineering
- Master's degree
- Bachelor's degree
Software Engineer ENDUR
Shell —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- DevOps
- Flexible schedule
9d
Senior Android Developer
Driivz —Bengaluru, Karnataka
- English
- Java
- APIs
7d
Software Engineer ENDUR
Shell Energy —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- DevOps
- Flexible schedule
9d
USI - FY27 - Cyber Enterprise Security - Zscaler - SSA
Deloitte —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Learning & Development Manager
Candescent (Digital First Holdings LLC) —Bengaluru, Karnataka
- Full-time
- Master's degree
- Education
- Bachelor's degree
Quick apply
Product Lead
Zenlegal Technology —Bengaluru, Karnataka
- Remote
Product Portfolio Manager – Lubricants
Shell —Bengaluru, Karnataka
- Full-time
- APIs
- Manufacturing
- Flexible schedule
9d
Quantitative Fieldwork Coordinator
m360 Research —Bengaluru, Karnataka
- Full-time
- Remote
- Microsoft Excel
- Basic math
- English
Quick apply
Principal Quality Engineer (Automation Architect)
EquiLend —Bengaluru, Karnataka
- Hybrid work
- APIs
- Agile
- Financial services
- Health insurance
App & AI Business System Analyst
DocuSign —Bengaluru, Karnataka
- Hybrid work
- Data analysis skills
- SQL
- Machine learning
Team Lead – AR
Calpion —Bengaluru, Karnataka
- Email
- AutoCAD
- Salesforce
- English
2d

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AI Testing

BCE Global Technology Centre
Bengaluru, Karnataka

Apply Now

Job details

Permanent
8 days ago

Benefits

Health insurance
Flexible schedule

Qualifications

French
CI/CD
Azure
Law
Salesforce
Test automation
Selenium
Git
English
Google Cloud Platform
Master's degree
AWS
Quality assurance
Continuous integration
Scripting
GitHub
APIs
ServiceNow
AI
Jenkins
Python

Full job description

BCE Global Tech's Global Quality Engineering (GQE) function is building one of Canada's most ambitious AI quality programs — certifying every AI and agentic system deployed across Bell Canada before it reaches production. As a QA AI Specialist, you sit at the intersection of artificial intelligence, software engineering, and quality assurance: a hybrid role that does not yet have a textbook, because the discipline is being written in real time.

You will do two things simultaneously. First, you will bring AI into GQE's existing testing practice — embedding AI-powered capabilities into the test automation tooling, pipelines, and frameworks that 250 QA engineers already use every day. Second, you will build and operate the evaluation frameworks that test the AI systems being created by other Bell engineering teams — agents, orchestration pipelines, RAG applications, Salesforce AgentForce workflows, and ServiceNow Now Assist integrations.

Key Responsibilities:

1. AI-Enhanced QA Tooling

Modernize GQE’s QA stack by embedding AI to improve speed, coverage, and intelligence:

Integrate AI-driven test generation into Selenium, Playwright, and Postman frameworks
Use predictive models to prioritize tests based on code changes and defect history
Enable self-healing automation for UI/API changes
Automate defect triage and root-cause analysis using failure clustering
Support natural-language test authoring (English/French) for non-technical QA
Continuously pilot emerging AI testing tools via a technology radar

2. AI Evaluation & Quality Pipelines

Build scalable evaluation systems tailored for AI behavior, not rule-based logic:

Implement LLM-as-Judge pipelines on Vertex AI (Gemini) across key quality dimensions.
Generate large, diverse, and adversarial test corpora from seed intents
Evaluate RAG systems using metrics like faithfulness, relevance, and recall (RAGAS)
Validate multi-step agent workflows, tool usage, and escalation behavior
Embed AI evaluations into CI/CD as mandatory release gates.

3. AI Safety & Adversarial Testing

Operate a dedicated AI red-teaming capability to uncover AI-specific risks:

Execute prompt injection and poisoned-context attacks on RAG systems.
Run automated jailbreak and constraint-bypass probes (e.g., Garak)
Systematically test hallucination, numerical accuracy, and domain knowledge
Assess toxicity, bias, and fairness across English and French interactions
Stress-test agentic systems for runaway actions and scope violations

4. Continuous Quality Evolution

Ensure the quality framework evolves as models and systems change:

Monitor production AI outputs for quality drift and trigger re-certification
Feed real production failures back into the test corpus
Track model/version changes and generate quality delta reports.
Maintain a living benchmark of Bell-specific AI quality standards
Continuously adopt new evaluation research and industry best practices
Partner early with AI/ML teams to embed quality by design

5. AI Quality Certification Operations

Lead technical execution of the AIQC program:

Own Tier 2 & 3 certification testing from corpus design to red-teaming
Calibrate LLM-as-Judge rubrics using human-labeled golden datasets
Produce clear AI Quality Certificates with scores, risks, and conditions
Advise teams on AI testability, prompts, and evaluation instrumentation
Contribute to AIQC playbooks, documentation, and knowledge sharing

Required

5+ years of software quality engineering experience, with at least 2 years working directly with AI/ML systems, LLMs, or AI-powered applications
Hands-on experience building or evaluating LLM-based applications — including prompt engineering, RAG pipelines, or agentic workflows
Proficiency in Python: test framework development, API integration, data processing, and evaluation scripting
Experience with modern test automation frameworks (Playwright, Selenium, Pytest, RestAssured, Postman/Newman) and CI/CD platforms (GitHub Actions, Google Cloud Build, Jenkins)
Working knowledge of at least one major AI/ML platform — Google Vertex AI, Azure OpenAI, or AWS Bedrock — with hands-on API usage
Strong conceptual understanding of how LLMs work: tokenization, temperature and sampling, context windows, grounding, hallucination mechanics, and fine-tuning
Demonstrated ability to design test strategies for non-deterministic systems — moving beyond assertion-based testing to probabilistic, rubric-based evaluation

What We Offer:

Competitive salaries and comprehensive health benefits
Flexible work hours and remote work options
Professional development and training opportunities
A supportive and inclusive work environment
Access to cutting-edge technology and tools.

Apply Now

Refine Your Search

remote pilot jobs in bengaluru karnataka

AI Testing

Associate Value Engineering - Orbit India

Founder Intern - AI/ML -Deeptech - Candidates from TIER 2 Cities

Business Development Manager (Enterprise Growth) – GRK Ads

Water Management Lead

USI - FY27 - Cyber Enterprise Security - Zscaler - LSA

Intern - Executive Assistant - AI/ML & Strategic Planning

Zscaler - Senior Consultant

SR MGR SUPPLY CHAIN

Software Engineer ENDUR

Senior Android Developer

Software Engineer ENDUR

USI - FY27 - Cyber Enterprise Security - Zscaler - SSA

Learning & Development Manager

Product Lead

Product Portfolio Manager – Lubricants

Quantitative Fieldwork Coordinator

Principal Quality Engineer (Automation Architect)

App & AI Business System Analyst

Team Lead – AR

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1. AI-Enhanced QA Tooling

2. AI Evaluation & Quality Pipelines

3. AI Safety & Adversarial Testing

4. Continuous Quality Evolution

5. AI Quality Certification Operations

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