MLOps Technical Lead
4 weeks ago
We are seeking a highly skilled Senior MLOps Engineer to provide technical leadership and guidance to our MLOps team. As a seasoned MLOps professional, you will oversee the deployment, monitoring, and optimization of machine learning models and systems, driving the enhancement of in-house tools for improved automation and operational efficiency.
Key Responsibilities:
- Lead and mentor MLOps engineers in deploying machine learning models into production.
- Architect, develop, and maintain scalable machine learning pipelines for deployment, monitoring, and evaluation.
- Collaborate with data scientists and machine learning engineers to refine models and optimize operational workflows.
- Strategically manage and optimize cloud infrastructure on AWS, ensuring performance and cost-efficiency for machine learning workloads.
- Leads the design and development of robust, secure APIs and automation tools using Python to support MLOps processes.
Requirements:
- 4+ Years proven experience in a senior MLOps engineering role or Python Development or equivalent.
- Strong familiarity with machine learning frameworks and libraries.
- Advanced knowledge of CI/CD pipelines and tools.
- Extensive hands-on experience with containerization and orchestration.
- Advanced expertise in AWS services, including EC2, S3, Lambda, ECS, and others.
- Deep proficiency in Python for machine learning operations, automation, and API development.
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Senior MLOps Engineer
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Technical Lead
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