MLOPS Engineer- Docker (6 - 9 years)
An exciting opportunity for the one having overall 6 - 9 years of experience out of which atleast 4 years of experience working with ML services and DevOps concepts, and practices. The candidate must be having experience working in cross-functional Agile engineering teams and familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines. A perfect role fit for the one having good hands on experience in Designing, building and optimize applications’ containerization and orchestration with Docker.
Location: Bangalore/Mumbai/ Gurgaon
Your future employer: One of the most prominent players in the Artificial Intelligence space providing services in Consumer-packaged goods, insurance, Retail& Technology etc.
Operating and maintaining systems supporting the provisioning of new clients, applications, and features.
Day-to-day monitoring of the production service delivery environment to ensure all services and applications are operating optimally and SLAs are met.
Handling/managing E2E ML lifecycle.
Building E2E ML pipeline/accelerators for either batch or real-time predictions.
At least 3 years’ experience working with ML services and DevOps concepts, and practices.
Experience working in cross-functional Agile engineering teams.
Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines.
Model management and model performance monitoring (drift monitoring).
Git for Source code management.
Knowledge of machine learning frameworks (either of): Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
Hands-on Python 3.x, Pandas, NumPy, SQL
Should have hands-on in below technologies:
Model Repository (either of): MLFlow, Kubeflow Model Registry
Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, or any relevant ML E2E PaaS/SaaS.
Hands-on with REST API for real-time and near real-time (streaming) servings.
What is in it for you?
Work in diverse culture and global team
Grow in culture focused on training and mentoring
Work in a fast-paced environment in an established brand
If you think you are perfect fit for this role, kindly drop me an email along with your updated CV at email@example.com