Karnataka Mlops engineer platform Jobs – 522 Open Jobs Today

MLOps Engineer - Platform
Entrupy —Bengaluru, Karnataka
- Full-time
- AWS
- Machine learning
- Internship
- Health insurance
- Paid time off
Quick apply
4d
Senior AI/ML Engineer – GenAI, LLM, Data Science & MLOps
Zochord —Bengaluru, Karnataka
- ₹31,65,828.01 - ₹35,31,110.83 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
ML Infrastructure / MLOps Engineer
Aivar Innovations —Bengaluru, Karnataka
- AWS
- Python
Quick apply
AI/ML Engineer
Eagledrift —Bengaluru, Karnataka
- ₹15,00,000 - ₹60,00,000 a year
- Full-time
- Azure
- AWS
- Analysis skills
Quick apply
10d
Infra Engineer (DevOps + MLOps)
Virallens —Bengaluru, Karnataka
- Full-time
- Azure
- DevOps
- AWS
Quick apply
AI/ML Engineer
Unicotalent —Bangalore G.P.O., Bengaluru, Karnataka
- ₹5,00,000 - ₹12,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid time off
- Flexible schedule
Quick apply
Site Reliability Engineer (SRE)
PinnacleU —Bengaluru, Karnataka
- ₹60,00,000 - ₹80,00,000 a year
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Generative AI Engineer
Aliqan Technologies —Bangalore City, Bengaluru, Karnataka
- ₹25,00,000 - ₹36,00,000 a year
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- Master's degree
Quick apply
11d
MLOps Engineer
Wabtec —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
MLOps Engineer
Aptiv plc —Bengaluru, Karnataka
- AWS
- Python
- Health insurance
- Flexible schedule
Research Engineer, Applied ML
Triomics —H .S .R Layout B .D .A Complex, Karnataka
- Full-time
- Master's degree
- Databases
- EMR systems
- Health insurance
- Flexible schedule
Quick apply
7d
MLOps Engineer
F‑Secure —Bengaluru, Karnataka
- Hybrid work
- English
- Master's degree
- AWS
Senior AI ML Engineer - GenAI LLM Data Science and MLOps
optimhire —Bengaluru, Karnataka
- ₹20,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
4d
DevOps & MLOps Engineer – Automation, Analytics & GenAI
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Azure
- Salesforce
- DevOps
AI Engineer – Physical AI & Digital Twin Systems
Siemens —Bengaluru, Karnataka
- Full-time
- Computer Science
- Laboratory experience
- Master's degree
Senior AI/ML Engineer
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Research
- Health insurance
Engineering Manager (MLOps Platform Team)
Guidewire Software —Bengaluru, Karnataka
- Full-time
- Management
- Computer Science
- AWS
AI/ML Engineer
Skill floor solutions —Bangalore City, Bengaluru, Karnataka
- ₹65,000 - ₹80,000 a month
- Full-time
- Azure
- PMP
- Master's degree
Quick apply
MLOps Engineer
Vestas —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- Databases
AI Platform Engineer
eBay Inc. —Bengaluru, Karnataka
- Full-time
- Master's degree
- Administrative experience
- APIs

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MLOps Engineer - Platform

Entrupy -
Bengaluru, Karnataka

Quick apply

Job details

Full-time | Internship
4 days ago

Benefits

Health insurance
Paid time off
Paid sick time

Qualifications

Image processing
AWS
Docker
Machine learning
Terraform
Back-end development
Data science
Python

Full job description

About Entrupy

Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods.

Entrupy's solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy's solutions in market:

Entrupy Apparel Authentication

Entrupy Bags & Leather Goods Authentication

Entrupy Sneaker Authentication

Entrupy Fingerprinting

As we continue to build...

We're seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world — we'd love to have you apply.

About the role

Entrupy is seeking a ML-Ops Engineer to join our growing team supporting machine learning infrastructure and operations. This is a great opportunity for someone early in their ML-Ops or data engineering career who is excited to work on real-world AI products and wants to grow their experience in deploying and managing machine learning systems in production.

As part of this role, you'll collaborate with experienced engineers, data scientists, and product teams to help streamline ML workflows—from model training and evaluation to deployment and monitoring.

Location: Bangalore, India (Hybrid)
Reports To: VP of Engineering

This role involves a mix of technical contribution, and operations work. In addition, this role will serve as a point of contact with various US-based and IN-based teams responsible for model delivery: annotation teams, infrastructure engineers, machine learning engineers, and products.

Some project areas this team is responsible for include:

Infrastructure and libraries to define, deploy, run, and monitor training and inference jobs
Providing interfaces and tooling for ML engineers to work with
Job graph visualization and analytics
Bringing research models and code to production
Hybrid cloud server provisioning and automation
Internal dashboards and annotation tools
Contributing to best practices and methodology guidelines for data science teams
Platform advocacy, training, and mentoring

What You'll Do:

Collaborate with engineering leads to define and implement new features and subsystems for our machine learning platform.
Build interfaces and tools for ML researchers, engineers, and data teams.
Operationalize research models — bringing them from prototype to production and scaling them effectively.
Design, build, and maintain data and training pipelines, job orchestration systems, and monitoring setups.
Develop and maintain automated testing and contribute to integration testing and rollouts.
Assist research and product teams in the use of the platform.
Stay in regular communication with ML research and product teams to understand how the platform can best assist in other teams' objectives.
Collaborate with infrastructure teams for provisioning, deployment workflows, and automation.

Who you are:

3-5 years of experience working in ML-Ops, data engineering, backend development, or DevOps.
Exposure to deploying or maintaining ML models in real-world applications (internships or full-time roles).
Experience writing Python scripts and familiarity with software engineering best practices (e.g., version control, testing).
Comfortable working with cloud platforms (AWS preferred) or containerized environments like Docker.
Curious, proactive, and eager to learn from more experienced team members.

Good to have

Experience with job schedulers or orchestration tools (e.g., Airflow).
Familiarity with model monitoring tools (e.g., Prometheus, Grafana).
Exposure to experiment tracking tools like MLflow or Weights & Biases.
Interest or experience in working with automation and infrastructure-as-code tools (e.g., Terraform).
Prior experience in startup or cross-functional team environments.
Familiarity with Anyscale Ray for scalable machine learning workloads is a plus.

What we offer

Market competitive and pay equity-focused compensation structure
Generous time away including company holidays, paid time off, sick time, parental leave, and more!
Rich medical benefits and insurance coverage

We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day.

Please apply if you want to be a part of a collaborative and dynamic team with a passion for working with high-end luxury brands and cutting-edge technology and want to be at the forefront of AI innovation.

Entrupy embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.

Quick apply

Refine Your Search

mlops engineer platform jobs in karnataka

MLOps Engineer - Platform

Senior AI/ML Engineer – GenAI, LLM, Data Science & MLOps

ML Infrastructure / MLOps Engineer

AI/ML Engineer

Infra Engineer (DevOps + MLOps)

AI/ML Engineer

Site Reliability Engineer (SRE)

Generative AI Engineer

MLOps Engineer

MLOps Engineer

Research Engineer, Applied ML

MLOps Engineer

Senior AI ML Engineer - GenAI LLM Data Science and MLOps

DevOps & MLOps Engineer – Automation, Analytics & GenAI

AI Engineer – Physical AI & Digital Twin Systems

Senior AI/ML Engineer

Engineering Manager (MLOps Platform Team)

AI/ML Engineer

MLOps Engineer

AI Platform Engineer

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