Senior MLOps Engineer
1 month ago
We are seeking a seasoned MLOps Engineer to lead our team in advancing our mission and making a significant industry impact.
Key Responsibilities:
1. Machine Learning Operations:
- Architect and develop scalable machine learning pipelines for deployment, monitoring, and evaluation.
- Collaborate with data scientists and machine learning engineers to refine models and optimize operational workflows.
2. AWS Infrastructure Leadership:
- Strategically manage and optimize cloud infrastructure on AWS, ensuring performance and cost-efficiency for machine learning workloads.
- Oversee the implementation of Infrastructure as Code (IaC) using tools such as AWS CloudFormation, ensuring scalability and automation.
3. Python, API, and Web Development:
- Lead the design and development of robust, secure APIs and automation tools using Python to support MLOps processes.
- Guide the team in building scalable and well-documented in-house APIs for MLOps tools.
Qualifications:
- 4+ Years proven experience in a senior MLOps engineering role or Python Development or equivalent.
- Strong familiarity with machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn).
- Advanced knowledge of CI/CD pipelines and tools (Jenkins, GitLab CI/CD, Travis CI).
What We Offer:
A competitive salary and benefits package, as well as opportunities for professional growth and development.
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