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2 months ago
Senior MLOps Engineer (AWS) - Job Description
About the Role
We are seeking a highly skilled Senior MLOps Engineer to join our team at La Fosse. As a key member of our AI/ML infrastructure team, you will be responsible for overseeing the end-to-end lifecycle of AI/ML models, from development to deployment.
Key Responsibilities
- Ensure the reliability, scalability, and security of AI/ML infrastructure
- Implement best practices for version control, testing, and continuous integration/continuous deployment (CI/CD) for AI/ML models
- Collaborate with cross-functional teams to design and implement AI/ML solutions
- Develop and maintain high-quality AI/ML models and infrastructure
- Stay up-to-date with industry trends and advancements in AI/ML
Requirements
- Proven experience as an AI/ML Ops Engineer or in a similar role, with a strong understanding of AI/ML lifecycle management
- Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with cloud platforms – ideally AWS
- Experience with Docker & Kubernetes
- Strong knowledge of CI/CD pipelines, automation tools, and version control systems (e.g., Git)
- Knowledge of security best practices for AI/ML models and data
What We Offer
As a Senior MLOps Engineer at La Fosse, you will have the opportunity to work on cutting-edge AI/ML projects, collaborate with a talented team of engineers and data scientists, and contribute to the development of innovative AI/ML solutions.