MLOps Lead Engineer
IT solutions specialized in Apps Lifecycle management. (MG1)
MLOps Lead Engineer
at IT solutions specialized in Apps Lifecycle management. (MG1)
Agency job
via Multi Recruit
5 - 6 yrs
₹10L - ₹12L / yr
Bengaluru (Bangalore)
Skills
Mlops
Kubernetes
DockerAnsible
PySpark
Jenkins
PythonMLOps Workflow Automation
- Automate and maintain ML and Data pipelines at scale
- Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
- Maintain and expand our on-prem deployments with spark clusters
- Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure
- 5 years of IT experience in data-driven or AI technology products
- Understanding of ML Model Deployment and Lifecycle
- Extensive experience in Apache airflow for MLOps workflow automation
- Experience is building and automating data pipelines
- Experience in working on Spark Cluster architecture
- Extensive experience with Unix/Linux environments
- Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
- Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
- Experience with Kubernetes or Docker Swarm
- Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
- Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
- Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
- Hands-on software and hardware troubleshooting experience.
- Experience documenting and maintaining configuration and process information.
- Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch
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