Senior MLOps Engineer
1 month ago
Job Description :
Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 3-5 years of experience in DevOps or MLOps.
- Strong programming skills in Python.
- Familiarity with ML frameworks like TensorFlow, Pandas, or Scikit-learn.
- Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
- Hands-on experience with cloud platforms like AWS, Azure, or GCP.
- Excellent understanding of CI/CD tools like Jenkins, GitLab CI, Github Actions Good knowledge of database management, both SQL and NoSQL. Strong problem-solving skills and attention to detail.
Key Responsibilities :
Infrastructure Ownership :
- High availability of production systems, and a highly visible and measurable environment
- Automating and streamlining standard infrastructure operations. Provisioning IAM Users, Roles and Permissions
- Proficiency in Auto Scaling techniques and Deployment strategies for high availability and self-healing infrastructure.
- Customizing Metaflow framework to suit our data science needs.
- Making high-level decisions on technologies we use to create and deploy our applications.
Internal Tools Ownership :
- Terraform and ansible automation with an Infra-As-Code approach to provisioning
- Deployment Pipelines - creation, operation, and upgrades.
- Monitoring systems implementation and support, expanding to provide a comprehensive monitoring solution, At a Glance system statuses, alerting mechanisms.
- Supporting engineers on internal tools, systems, and processes.
Preferred Skills :
- Experience in setting up monitoring tools like Prometheus, Grafana. Experience with Infra as code like Terraform
- Experience in experimentation tracking tools like WandB
- Familiarity with data tools like DVC, Metaflow, Airflow.
- Knowledge of feature stores and ML metadata management.
- Certifications in DevOps or Cloud platforms.
Benefits :
- Competitive salary and performance bonuses.
- Flexible work hours and remote working options.
- Opportunities for career advancement and continuous learning.
(ref:hirist.tech)
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