![Avataar](https://media.trabajo.org/img/noimg.jpg)
Senior MLOps Engineer
1 month ago
We recently announced our $45mm Series-B from top-tier global investors including Tiger Global and Sequoia Capital.
The position will be based out of our
Bangalore office - Vaishnavi Tech Park, Bellandur, Bangalore
Position: MLOps Engineer
Position Overview:
As the MLOps Engineer, you will be designing, developing and maintaining the infrastructure and workflows necessary to support the deployment and scaling of multiple concurrent machine learning services. The ideal candidate for this role has expertise in
MLOps, automation, optimization, and cloud infrastructure which will be essential in scaling our machine learning capabilities and ensuring the reliable and efficient deployment of our computer vision models.
Responsibilities:
Work on the development and implementation of MLOps processes, and best practices for the entire machine learning lifecycle, from model training to deployment and monitoring.Design, build, and maintain robust, scalable, and secure
ML infrastructure in the cloud (AWS), ensuring high availability and performance.Develop infrastructure for large-scale distributed training and experimentation.Collaborate closely with the backend team to integrate MLOps processes into the overall CI/CD pipeline and infrastructure.
Qualifications & Experiences:
3+ years of experience working in
MLOps
with hands-on experience in deploying and maintaining machine learning models in large-scale production environments.Extensive experience with
cloud platforms (AWS) and their machine learning services, including model deployment and monitoring.Deep understanding of
containerization
technologies (e.g.,
Docker, Kubernetes ) and experience with
container orchestration .Solid understanding of
DevOps principles
and experience with
CI/CD pipelines, automated testing, and infrastructure-as-code
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