![CoffeeBeans Consulting](https://media.trabajo.org/img/noimg.jpg)
Ml Ops
3 weeks ago
Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains
**What we are looking for**
We are looking for a ML Ops Engineer who
**Must haves**
10+ year of experience preferred in MLOps and ML Ops Architecture
Exposure to Deployment of MLOps tools (ML engineer) on Docker and containers
DevOps (Jenkins, Git, Ansible, Strong knowledge on Kubernetes and Docker)
On-premises experience with Infrastructure as a code and Automation tesing
Strong knowledge on Linux and troubleshooting skills
Experience in deploying models to production using Kubeflow
Exposure to in-memory databases like Redis and load balancers like nginx is a plus
**Roles & Responsibilities**
Working in an agile cross-functional team with other talented developers.
Ensure the technical feasibility of all the features working with the Product Owner
Ensure good coding practices are followed and have knowledge of test driven development.
Ensure that the code you write meet our quality standards
Optimize code for speed and scalability
Monitoring uptime and performance of product features owned by your team
Collaborate with team members to resolve blockers and maintain our feature shipping speed
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