Ennore Chennai Tamil Nadu Ai/ml engineer Jobs – 498 Open Jobs Today

Dist Engr-AI/ML Engineering
Verizon —Chennai, Tamil Nadu
- Bachelor's degree
- AI
- Communication skills
- Work from home
1d
AI/ML Engineer
Hitachi —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- English
ML Engineer (NLP/GenAI)
Vestas —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
Lead Engineer - ED & BOM
Ford Motor Company —Chennai, Tamil Nadu
- CAD
- Engineering
- Data analysis skills
1h
AI/ML Engineer
Qualcomm —Chennai, Tamil Nadu
- Azure
- Computer Science
- Engineering
Software Engineer, AI Agents & Engineering Workflows
Advantest —Chennai, Tamil Nadu
- Master's degree
- APIs
- AI
1-D Simulation Engineer
ZF —Chennai, Tamil Nadu
- AI
- Python
Responsible AI Engineer
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- AI
AI/ML Engineer
Agilisium —Chennai, Tamil Nadu
- Full-time
- Azure
- AWS
- Machine learning
Python AI Engineer
Soliton Technologies —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
14d
AI/ML Engineer
Hitachi Rail —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- English
AI/ML
Riverstone Infotech —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
AI Applications Engineer
Five9 —Chennai, Tamil Nadu
- Computer Science
- DevOps
- Master's degree
Assoiciate Engineer
Altimetrik Corp —Chennai, Tamil Nadu
- Microsoft Excel
- Master's degree
- AWS
AI-ML Engineer
MaintWiz Technologies —Chennai, Tamil Nadu
- Azure
- Computer Science
- Java
Agentic AI Engineer - Remote
Oxydata Software —Chennai, Tamil Nadu
- Remote
- Computer Science
- DevOps
- Master's degree
AI Engineer
Factana Computing Private Limited —Chennai, Tamil Nadu
- ₹3,00,000 - ₹6,00,000 a year
- Full-time
- Master's degree
- Databases
- APIs
- Paid time off
- Paid sick time
Quick apply
3d
Engineer II - Software
Microchip Technology —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Windows
- Master's degree
AI/ML Engineer
KritiLabs Technologies —Chennai, Tamil Nadu
- Computer Science
- Master's degree
- Databases
- Health insurance
- Paid time off
GenAI Backend Engineer
Jasdeep Pvt Ltd —Chennai, Tamil Nadu
- Up to ₹90,000 a month
- Hybrid work
- Master's degree
- APIs
- AI
Quick apply
7h

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Dist Engr-AI/ML Engineering

Verizon -
Chennai, Tamil Nadu

Apply Now

Job details

1 day ago

Benefits

Work from home

Qualifications

CI/CD
Information security
Bachelor's degree
Distributed systems
Continuous integration
AI
Communication skills
Negotiation

Full job description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

We are looking for a DMTS - AI/ML Engineering in the AI Platforms and AI Governance organization.The enterprise AI Control Plane team requires strategic lead to build and operate the foundational E2E AI Governance ecosystem. Currently, AI governance work is fragmented. This role will lead a dedicated engineering pod to own the overarching architecture that integrates AI development platforms with safety and compliance hubs. This leader will set enterprise standards, negotiate guardrails with executive risk organizations (Legal, InfoSec, RAI), and transform governance from a manual bottleneck into an automated pipeline, culminating in same-session auto-approvals for Verizon AI.

What you’ll be doing...

In this role, This leader will drive and partner the AI Governance KPIs for use cases driven by BUs. At Verizon, we are at a pivotal point to industrialize our AI capabilities platforms to next-gen standards. This person must have excellent communication and strategic thinking skills, Deep understanding of AI and GenAI concepts and Architectures along with strong technical experience.

This leader acts as the primary strategic bridge across the enterprise. They interact daily with and rely heavily upon VP and SVP-level executives across Legal, Information Security (InfoSec), and Responsible AI (RAI). They partner closely with AI Platform Engineering leaders who build the models, and they guide BU-level AI product owners to ensure compliance. They also direct aspecialized team of AI Engineers and Scientists.

Architect and lead the vision, strategy, and continuous development of the Enterprise E2E AI Control Plane and Reimagined Registration System. Replace manual compliance questionnaires with automated, code-driven guardrails and system telemetry ingestion.
Operationalize and govern the 4-Quadrant Enterprise AI Evaluation Framework (Validate, Observe, Evaluate, Optimize) for all highly autonomous agentic systems, including customer-facing voice agents.
Advanced evaluation metrics (e.g., piloting Tau2 benchmarking for agent simulation)
Lead cross-functional alignment and executive negotiation with Security, Compliance, and RAI leadership to translate strict corporate policies into automated CI/CD pipelines.
Foster a culture of scientific innovation, driving the creation of new intellectual property (IP), patents, and advanced evaluation metrics (e.g., piloting Tau2 benchmarking for agent simulation).
Exceptional strategic leadership and executive negotiation skills with Deep fluency in LLMOps, enterprise risk management

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You’ll need to have:

Bachelor’s degree or twelve or more years of work experience.
Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or specialized training.
Strategic Architecture: Deep expertise in AI solution deployment patterns
Financial Operations (FinOps): Ability to manage the high costs of GPU clusters and compute credits through strategic resource allocation.
AI/ML governance practices scaling at enterprise grade

Even better if you have one or more of the following:

Deep fluency in AI/GenAI architecture and distributed systems.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Apply Now

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When you join Verizon

What you’ll be doing...

Architect and lead the vision, strategy, and continuous development of the Enterprise E2E AI Control Plane and Reimagined Registration System. Replace manual compliance questionnaires with automated, code-driven guardrails and system telemetry ingestion.

Operationalize and govern the 4-Quadrant Enterprise AI Evaluation Framework (Validate, Observe, Evaluate, Optimize) for all highly autonomous agentic systems, including customer-facing voice agents.

Advanced evaluation metrics (e.g., piloting Tau2 benchmarking for agent simulation)

Lead cross-functional alignment and executive negotiation with Security, Compliance, and RAI leadership to translate strict corporate policies into automated CI/CD pipelines.

Foster a culture of scientific innovation, driving the creation of new intellectual property (IP), patents, and advanced evaluation metrics (e.g., piloting Tau2 benchmarking for agent simulation).

Exceptional strategic leadership and executive negotiation skills with Deep fluency in LLMOps, enterprise risk management

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You’ll need to have:

Bachelor’s degree or twelve or more years of work experience.

Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or specialized training.

Strategic Architecture: Deep expertise in AI solution deployment patterns

Financial Operations (FinOps): Ability to manage the high costs of GPU clusters and compute credits through strategic resource allocation.

AI/ML governance practices scaling at enterprise grade

Even better if you have one or more of the following:

Deep fluency in AI/GenAI architecture and distributed systems.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working

Scheduled Weekly Hours

Equal Employment Opportunity