Junior ML Ops Engineer Remote - India
Junior ML Ops Engineer Remote - India
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Salary Not Disclosed
1 Vacancy
Job Description
Job Description:
Key Responsibilities:
- Model Deployment and Automation:
- Develop and maintain automated pipelines for model deployment monitoring and scaling.
- Implement best practices for model version control model tracking and performance optimization to ensure the reliability and reproducibility of ML models.
- ML Ops Integration and Collaboration:
- Collaborate with DevOps teams to integrate ML Ops processes into existing CI/CD pipelines enabling continuous deployment and iteration of ML models.
- Work closely with data scientists to streamline the entire model development lifecycle from experimentation to production.
- Monitoring and Performance Management:
- Establish monitoring frameworks to track model performance detect anomalies and ensure optimal model functionality in production.
- Develop strategies for model retraining and updates based on performance metrics and realtime feedback.
- Documentation and Compliance:
- Create and maintain comprehensive documentation for all ML Ops processes including deployment pipelines monitoring tools and model performance metrics.
- Ensure adherence to compliance standards and data security protocols throughout the ML lifecycle.
MustHave Skills:
- Proficiency in AWS Azure and GCP cloud platforms.
- Handson experience with DevOps tools and practices.
- Strong knowledge of Kubernetes and Docker for container orchestration and management.
- Experience with Jenkins for CI/CD pipeline automation.
- Understanding of model deployment monitoring and scaling in production environments.
docker,jenkins,azure,model deployment,kubernetes,gcp,devops,aws,ml,automation
Employment Type
Full Time
Company Industry
Key Skills
- Splunk
- System Design
- C/C++
- FIPS
- Go
- LabView
- PKI
- AWS
- SolidWorks
- Linux
- Natural Language Processing
- Siem
