Similar Jobs
See allApplied AI Engineer II
Quillbot
India
Python
Kubernetes
CI/CD
Senior MLOps Engineer
Clutch
Global
Python
AWS
Terraform
MLOps Engineer
Dv01
US
Python
Kubernetes
Terraform
Senior MLOps Engineer
Wellhub
Brazil
Kubernetes
Python
Terraform
Machine Learning Engineer
Software Mind
Python
Cloud Infrastructure
MLflow
Role Overview:
- Take ownership of ML infrastructure ensuring model uptime and performance as usage scales.
- Bridge gap between experimentation and production by turning research artifacts into robust services.
- Shape on-premises MLOps practices and improve engineering across the ML stack.
Responsibilities:
- Collaborate with data scientists and engineers to build scalable data pipelines and deployment systems.
- Troubleshoot issues from Linux and Docker to the highest levels of the ML stack.
- Design and develop MLOps solutions for seamless handover between research and production.
Ideal Candidate:
- 3+ years of experience in MLOps or full stack Machine Learning.
- Strong programming skills in Python, Scientific Python Stack, or Cuda.
- Understanding of MLOps lifecycle and experience with Kubernetes, cloud platforms, CI/CD, and ML frameworks.
Benefits & Perks:
- Competitive salary and annual bonus, medical coverage, and life insurance.
- Vacation and leaves of absence including menstrual and flexible leave.
- Developmental opportunities, hybrid/remote model, tech/WFH stipends, and premium access to Quillbot.
Learneo
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.