Job Summary
A company is looking for an ML Engineer responsible for designing, deploying, and optimizing scalable machine learning platforms.
Key Responsibilities
- Architect and implement a scalable machine learning platform for model development and deployment
- Lead technical strategy for Generative AI infrastructure and validate architectural approaches
- Collaborate with data scientists to productionize predictive models and Generative AI solutions
Required Qualifications
- Proficiency in Python and experience with ML frameworks like PyTorch and TensorFlow
- Expertise in building MLOps infrastructure, including Docker and Kubernetes
- Hands-on experience with cloud platforms, particularly AWS and its ML services
- Advanced proficiency in SQL and experience with various data storage solutions
- Master's Degree in Computer Science or related field with 4-5 years of relevant experience
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