Pimpri Chinchwad, Maharashtra Senior devops engineer Jobs – 96 Open Jobs Today

Senior Consultant - Machine Learning Engineering
Principal Global Services —Pune, Maharashtra
- Full-time
- Remote
- Computer Science
- Engineering
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DevOps Application Support Manager - Vice President
Citi —Pune, Maharashtra
- Full-time
- Hybrid work
- Oracle
- DevOps
- Java
Specialist I - DevOps Engineering
UST —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
6d
Senior Consultant || 6 to 8 Years
Capgemini —Pune, Maharashtra
- DevOps
- Scripting
- Agile
Senior Consultant || 6 to 8 Years
Capgemini Sogeti —Pune, Maharashtra
- DevOps
- Scripting
- Agile
Senior Manager, Developer Experience
Vena Solutions —Pune, Maharashtra
- ₹55,26,909 - ₹74,77,582 a year
- Full-time
- Azure
- DevOps
- AWS
Quick apply
DevOps
Credence Global Solutions —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Sr. Devops Engineer
StackAvenue Technologies —Pune, Maharashtra
- DevOps
- SQL
- Python
Quick apply
MLOps + LLMOps Engineer
Credence Global Solutions —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Senior Specialist, Production Services Application Support Analyst
The Bank of New York Mellon Corporation —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Bachelor's degree
- Paid time off
13d
Senior DevOps
DemandMatrix —Pune, Maharashtra
- DevOps
- Databases
- AWS
- Work from home
- Flexible schedule
Quick apply
Senior Associate - Development
SoftTech Engineers —Pune, Maharashtra
- Full-time
- Azure
- DevOps
- Windows
Senior Technical Specialist - Rest, Jira, Windchill
HCLTech —Pune, Maharashtra
- Azure
- DevOps
- AWS
1d
Supervisor Software Development Engineer
NTT Ltd —Pune, Maharashtra
- Full-time
- Azure
- Software troubleshooting
- Scripting
7h
Sr. Engineer -Tools and Automation
Ethernovia, Inc. —Pune, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL
- Flexible schedule
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5d
MTS IV , Software
Panasonic —Pune, Maharashtra
- Full-time
- Azure
- DevOps
- AWS

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Senior Consultant - Machine Learning Engineering

Principal Global Services -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

CI/CD
Law
Computer Science
Kubernetes
Engineering
Master's degree
Application development
AWS
Math
Bachelor's degree
Machine learning
Terraform
Continuous integration
Data science
AI
Python
Identity & access management

Full job description

Responsibilities:

What You’ll Do

As a Mid Level Machine Learning Engineer on our GenAI Enablement team, you'll work at the forefront of Large Language Model Operations (LLMOps), helping to design, develop, and scale our AI capabilities. You'll join our community of engineers to build solutions that transform how we serve our customers through AI technology.

Understand the business problem, the data science solutions and operationalize it to deliver outcomes at level of scale/efficiency, integrate with other systems. This role is mainly comprising of three aspects: Data acquisition with a focus on CI/CD (continuous integration/continuous deployment), Model orchestration & deployment & Governance and operational support.

Data Acquisition:

Work with Data Engineering team to understand and help to develop build-as-per-need infrastructure for Data collection and ETL processes, automate steps in ETL & develop system to manage, deploy and maintain Data Engineering code. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems (including feature engineering).

Model orchestration & deployment:

Assist in the development of systems to manage, deploy and maintain ML code. Work closely with the Data Sciences team to: Develop infrastructure in order for Machine Learning models to be deployed, Take over newly developed models into production, Develop systems for integrating AI/ML components using orchestration services. Build CI-CD pipelines interconnecting Data services and ML services for the project with an aim to achieve MLOps. Assist in development and implementation of ML toolchains and data platforms to scale ML solutions in production.

Governance and operational support:

Enable the agility in data science delivery through automation across build, validation, deployment and monitoring of Data Science models. Monitor quality parameters for ML models in production. Shape and operate best practices for managing models in production. Contribute to solutions that accelerate the task of Production issue analysis by Data Scientists by enabling log viewing tracing and debugging of data science features in production.

Qualifications:

Who You Are

- Bachelor's Engineering degree - (preference in a computer science, technology, engineering or math-related field)
- 12+ years leading software/application development projects with strong delivery ownership
- Strong programming skills in AWS, python (Python programming skills from infrastructure development like lambda, App dev than data science)
- ML Engineering skills with software engineer/infra structure engineer with ML/AI background.
- Platform Ownership: Design and operate the ML platform (training, inference, orchestration, observability, governance).
- Delivery & Reliability: Establish SLAs/SLOs for model services; ensure uptime, scalability, and disaster recovery.
- MLOps Pipelines: Build/standardize CI/CD/CT (continuous training) for data + models + infra.
- Model Governance: Champion reproducibility, lineage, approvals, auditability, responsible AI, and compliance-by-default.
- Cost Management: Optimize cloud spend (compute/storage), autoscaling, and GPU allocation.
- Security & Risk: Secrets management, IAM, network policies, data privacy and model security.
- People Leadership: Hiring, coaching, technical direction, delivery rituals, stakeholder engagement.
- Change Management: Drive adoption, enablement, and documentation of best practices.

Skills That Will Help You Stand Out

Deployed & operated multiple production models (batch + real-time) with monitoring and rollback.
Kubernetes, Terraform, registry + pipeline orchestration, and CI/CD for ML.
Cloud-native stack (one major cloud) and infra security basics.
Proven people leadership (hiring, mentoring, roadmap ownership).
GenAI/LLMOps with RAG and LLM evals, Guardrails.

Additional Information:

Our Engineering Culture

Through our Agile/Lean DevOps environment dedicated to delivering valuable solutions, we’ve fostered a culture of innovation and experimentation across our development teams. As a customer-focused organization, we work closely with our end users and product owners to understand and rapidly respond to emerging business needs.

Collaboration is embedded into everything we do – from the products we develop to the quality service we provide. We’re driven by the belief that diversity of thought, background, and perspective is critical to creating the best products and experiences for our customers.

Apply Now

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senior devops engineer jobs in pimpri chinchwad, maharashtra

Senior Consultant - Machine Learning Engineering

DevOps Application Support Manager - Vice President

Specialist I - DevOps Engineering

Senior Consultant || 6 to 8 Years

Senior Consultant || 6 to 8 Years

Senior Manager, Developer Experience

DevOps

Sr. Devops Engineer

MLOps + LLMOps Engineer

Senior Specialist, Production Services Application Support Analyst

Senior DevOps

Senior Associate - Development

Senior Technical Specialist - Rest, Jira, Windchill

Supervisor Software Development Engineer

Sr. Engineer -Tools and Automation

MTS IV , Software

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