Vadapalani Chennai Tamil Nadu Systems engineer data devops/mlops Jobs – 34 Open Jobs Today

Senior Engineer - AI & ML
Deluxe —Chennai, Tamil Nadu
- Email
- Java
- Master's degree
- AWS
- Health insurance
- Paid time off
Lead, Development
Standard Chartered —Chennai, Tamil Nadu
- Azure
- Oracle
- Computer Science
- Health insurance
- Paid sick time
EY - GDS Consulting - AIA - Gen AI - Associate Director
EY —Chennai, Tamil Nadu
- Azure
- Computer Science
- DevOps
Databricks Architect
codemind staffing solutions —Chennai, Tamil Nadu
- ₹25,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- Master's degree
- SQL
Quick apply
Senior Full Stack Engineer
[email protected] —Perungudi, Chennai, Tamil Nadu
- Up to ₹11,00,000 a year
- Full-time
- DevOps
- Java
- AWS
Quick apply
3d
Principal Architect - Product and Platform Engineering
Altimetrik Corp —Chennai, Tamil Nadu
- DevOps
- AWS
- APIs
Gen AI Engineer with Telecommunications (Telco - OSS)
CGI —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- Master's degree
Quick apply
Senior Digital Innovation Engineer - Data Science
Buckman —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
AI Architect with Telecommunications (Telco /OSS)
CGI —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- Master's degree
Quick apply
Software Engineer - AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Senior Software Engineer, AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply

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Senior Engineer - AI & ML

Deluxe -
Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Benefits

Health insurance
Paid time off

Qualifications

Cloud infrastructure
Cloud architecture
Law
Kubernetes
System architecture
Java
Master's degree
AWS
Machine learning
Distributed systems
Data science
AI
Python

Full job description

We are looking for a highly experienced Senior Engineer with deep expertise in AI and Machine Learning platforms to lead the architecture and engineering of our enterprise AI infrastructure. This role will drive the design and scalability of cloud based AI platforms, ML lifecycle systems, and AI driven engineering capabilities across the organization.

The Principal Engineer will play a critical role in enabling production grade AI and ML solutions by building the underlying platform, infrastructure, and automation required to support model development, deployment, monitoring, and governance at scale.

This is a senior individual contributor role focused on AI platform architecture, Cloud infrastructure, and AI driven engineering innovation.

Required Qualifications

12 or more years of experience in software engineering, platform engineering, or cloud architecture.
Strong expertise in AI and machine learning systems and production ML platforms.
Experience designing and operating AI or ML platforms at scale.
Deep experience with cloud infrastructure such as AWS and distributed systems.
Experience with container orchestration platforms such as Kubernetes.
Strong understanding of MLOps practices and ML lifecycle management.
Programming experience in languages such as Python, Java, or similar.
Experience in AWS cloud.
Experience working closely with data science teams to operationalize machine learning models.

Preferred Qualifications

Experience with large scale data processing platforms and AI training environments.
Experience deploying real time and batch AI inference systems.
Familiarity with generative AI, LLM based systems, or modern AI platforms.
Experience in Building solution using AI Native Development Lifecycle
Experience building internal AI platforms or developer platforms supporting ML workflows.

Key Attributes

Deep passion for AI and emerging technologies
Strong systems architecture and problem-solving skills
Ability to translate AI innovation into scalable production systems
Strong technical influence across engineering teams
Ability to mentor engineers and drive engineering excellence

Key Responsibilities

AI and Machine Learning Platform Architecture

Lead the architecture and engineering of the enterprise AI and ML platform supporting model development, training, deployment, and monitoring.
Define scalable infrastructure patterns for AI workloads including batch and real time inference environments.
Establish best practices for ML lifecycle management including model versioning, deployment, monitoring, and retraining.
Build and evolve infrastructure supporting large scale data processing and AI model experimentation.

AI Driven Engineering and Innovation

Promote the adoption of AI driven engineering practices across development and platform teams.
Enable integration of generative AI, machine learning models, and intelligent automation into platform capabilities.
Evaluate emerging AI technologies and identify opportunities to incorporate them into the enterprise platform.

Technical Leadership

Serve as the technical authority for AI platform architecture and infrastructure.
Mentor engineers and data scientists on best practices for building scalable AI systems.
Drive architectural consistency and engineering standards across teams.
Lead complex technical initiatives involving AI platforms, cloud infrastructure, and data systems.

Cloud Infrastructure for AI Workloads

Design and implement scalable cloud infrastructure to support AI and data intensive workloads.

MLOps and DevOps Enablement

Design and standardize MLOps frameworks for training, deploying, and monitoring machine learning models.

Platform Reliability and Observability

Establish monitoring and observability for AI models, pipelines, and platform services.

Security, Governance, and Responsible AI

Ensure AI platform infrastructure

Benefits

In line with our commitment to employee wellbeing, our total rewards benefits package is designed to support the physical, financial, and emotional health of our employees, tailored to meet their unique and evolving needs. Our approach considers our employees’ whole selves, ensuring they can thrive both in and outside of work. Here are some of the benefits we offer, which may vary based on role, location, or hours worked:

Mediclaim Insurance
Group Term Life Insurance
Group Personal Accident Insurance
Employee Assistance Program
Paid Time Off and Holidays

These benefits are designed to enhance the health, protect the financial security, and provide peace of mind to our employees and their families.

Deluxe Corporation is an Equal Employment Opportunity employer:
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, disability, sex, age, ethnic or national origin, marital status, sexual orientation, gender identity or presentation, pregnancy, genetics, veteran status or any other status protected by state or federal law.

Please view the electronic EEO is the Law Poster which serves to inform you of your equal employment opportunity protections as part of the application process.

Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected].

Apply Now

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systems engineer data devops/mlops jobs in vadapalani chennai tamil nadu

Senior Engineer - AI & ML

Lead, Development

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Senior Digital Innovation Engineer - Data Science

AI Architect with Telecommunications (Telco /OSS)

Software Engineer - AI/ML

Senior Software Engineer, AI/ML

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