InternFlow

full-time
Listing 30+ days old

Mlops Engineer

Team Geek Solutions

Team Geek Solutions appears to be a technology services firm that works with software and data-driven projects. As an MLOps Engineer, the role will likely involve designing, building, and maintaining end‑to‑end machine‑learning pipelines that move models from development to production. Daily tasks may include writing reusable code for data preprocessing, model training, and inference, setting up continuous integration and continuous deployment (CI/CD) workflows, containerising services with Docker, orchestrating workloads on Kubernetes or similar platforms, and monitoring model performance and resource usage in cloud environments such as AWS, GCP or Azure. The engineer will work closely with data scientists to translate experimental notebooks into scalable production code and ensure reproducibility, version control, and security compliance. The position suits candidates with a solid software engineering background, familiarity with machine‑learning concepts, and hands‑on experience in DevOps tools, cloud services, and container technologies. Strong problem‑solving skills, the ability to automate repetitive tasks, and effective communication with cross‑functional teams are essential.

mlops engineermachine learning operationsdevopsci/cd pipelinesdockerkubernetescloud platformspythonmodel deploymentdata science collaboration

Education

  • Batch: 2026
  • Level: Bachelor's degree
  • Courses: B.E
Hybrid4-7 yrs experience

Key Skills

PythonAWSDockerMachine LearningAI

Experience required

4-7 years experience
0 yrs10+ yrs

MLOps Engineer at Team Geek Solutions Posted by Mamta K

Skills for this role

Also mentioned in the listing

mlops engineermachine learning operationsdevopsci/cd pipelineskubernetescloud platformsmodel deploymentdata science collaboration
RoleMlops Engineer
CompanyTeam Geek Solutions
Compensation₹10L -
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

0/4

Mlops Engineer at Team Geek Solutions: frequently asked questions

Who can apply for the Mlops Engineer role at Team Geek Solutions?
The listing asks for Bachelor's degree (B.E); graduating batches 2026; 4-7 years of experience.
What skills does the Mlops Engineer role require?
The listing highlights Python, AWS, Docker, Machine Learning, AI. Show each of these in a project or past role on your resume.
What is the salary for this role?
Team Geek Solutions has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the Mlops Engineer position remote, hybrid or onsite?
The listing marks this role as hybrid.
What is the application deadline?
Team Geek Solutions has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the Mlops Engineer role?
Use the Apply button on this page. It opens the original listing on cutshort.io, where you submit your application with the company.

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