Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 71.
From 4,626 similar postings that came down. Coming down is not always a hire.
Data & AI V&V Leader
Bangalore, IN
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAudit current V&V maturity and run a transformation roadmap
Define mandatory software quality gates before production deployment
Embed V&V engineers within Agile squads and sprint cycles
Build, recruit and develop the V&V engineering organization
Deploy automated, regression and performance testing practices
From the employer’s posting
Perform a comprehensive audit of the current V&V organization, processes, tools, and maturity.
Define mandatory software quality gates before production deployment.
Embed V&V engineers within Agile squads.
Recruit, onboard, and develop V&V engineers.
Promote and deploy:
What you’ll bring
All qualificationsCore experience
- Master's degree in Computer Science, Software Engineering, Data Engineering, or equivalent.
- 10+ years of experience in Software Engineering, Data Engineering, AI Engineering, or Quality Engineering.
- Experience in railway, industrial, or safety-critical environments.
- Strong leadership and people management
- Excellent communication and stakeholder management
- Proven experience defining and deploying enterprise-scale V&V strategies.
Qualification wording
Master's degree in Computer Science, Software Engineering, Data Engineering, or equivalent.
10+ years of experience in Software Engineering, Data Engineering, AI Engineering, or Quality Engineering.
Experience in railway, industrial, or safety-critical environments.
Strong leadership and people management
Excellent communication and stakeholder management
Proven experience defining and deploying enterprise-scale V&V strategies.
Education & alternatives
Mandatory - Master's degree in Computer Science, Software Engineering, Data Engineering, or equivalent. Preferred
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20261 day ago
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Alstom Transport is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Kubernetes
Where the posting names them
- AI/ML Solution Validation - Python - Containerization
Preferred - Cloud, Kubernetes, DevOps, or MLOps certifications. Experience
Your next step
Complete your application on jobsearch.alstom.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
- Images (.jpg) aren’t accepted as a resume.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Req ID:528338
At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.
Purpose of the Job
Lead the Data & AI Verification & Validation (V&V) function to ensure all Data & AI solutions delivered by the organization are reliable, secure, scalable, and compliant with Alstom engineering and quality standards.
The Data & AI V&V Leader is accountable for defining and deploying the V&V strategy, governance, methodologies, tools, and organization across the complete Data & AI governance scope.
The role works closely with Agile squads to embed quality engineering practices throughout the software development lifecycle, promoting a "quality built-in" culture rather than end-of-cycle validation.
As the Software Quality Engineering leader within the Data & AI Governance organization, the Data & AI V&V Leader ensures every Agile squad delivers production-ready, secure, and reliable solutions while continuously improving engineering excellence.
The mission starts with a comprehensive assessment of the current V&V maturity and continues through the execution of a transformation roadmap including best practice deployment, organizational evolution, and staffing plan execution.
Organization
Organization: Digital Services / Data & AI Governance
Reports to: Data & AI Performance Director
Direct Reports:
- Data & AI V&V Engineers
- Data & AI V&V Architects
Key Stakeholders
Internal
- Product Owners / Program Managers
- Data Engineers
- ML Engineers
- Data Scientists
- Data & Software Architects
- Heads of Data & AI Delivery Teams
External
- Technology Partners
- Software Vendors
- Engineering Partners
Main Responsibilities
Define the Data & AI V&V Strategy
- Perform a comprehensive audit of the current V&V organization, processes, tools, and maturity.
- Identify risks, technical debt, and improvement opportunities.
- Define and execute the Data & AI V&V transformation roadmap.
- Establish quality KPIs and reporting.
Deploy Software Quality Engineering Best Practices
- Define and standardize verification and validation methodologies across the Data & AI technology landscape.
- Promote and deploy:
- Automated testing
- CI/CD quality gates
- Unit, integration, and end-to-end testing
- Regression testing
- Performance testing
Organization & People Management
- Build and develop the Data & AI V&V organization.
- Build and execute the staffing plan.
- Recruit, onboard, and develop V&V engineers.
- Provide hierarchical management, coaching, and career development.
- Foster a strong software engineering and quality culture.
Governance
- Establish Data & AI V&V governance across all Data & AI products.
- Define mandatory software quality gates before production deployment.
- Ensure compliance with Alstom engineering standards.
- Support executive reviews through quality reporting and risk assessment.
Agile Quality Leadership
- Define and promote V&V practices adapted to Agile delivery.
- Embed V&V engineers within Agile squads.
- Ensure verification and validation activities are integrated into sprint planning, refinement, development, and release cycles.
Required Qualifications
Education
Mandatory
- Master's degree in Computer Science, Software Engineering, Data Engineering, or equivalent.
Preferred
- Cloud, Kubernetes, DevOps, or MLOps certifications.
Experience
Mandatory
- 10+ years of experience in Software Engineering, Data Engineering, AI Engineering, or Quality Engineering.
- Significant experience managing engineering teams.
- Proven experience defining and deploying enterprise-scale V&V strategies.
- Experience leading organizational transformation.
- Experience with modern Data & AI platforms and cloud-native technologies.
- Proven experience working within Agile software delivery organizations.
- Experience collaborating with cross-functional Agile squads.
- Experience implementing Software Quality Engineering practices in Agile and DevOps environments.
Preferred
- Experience in railway, industrial, or safety-critical environments.
Competencies & Skills
- Strong leadership and people management
- Technical credibility
- Software Quality Engineering
- Test Automation
- AI/ML Solution Validation
- Python
- Containerization
- CI/CD
- DevOps
- Risk Management
- Excellent communication and stakeholder management
- Continuous improvement mindset
- Strong execution and delivery focus
- Agile methodologies
You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!
Important to note
As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.
Job Type:Experienced
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.