Lead Machine Learning Engineer
1 day ago
This senior position requires a highly skilled individual to lead the development of machine learning models. The ideal candidate will have expertise in generative AI and MLOps, as well as experience with cloud infrastructure and containerization.
Job Description:The Lead Machine Learning Engineer will be responsible for designing and implementing scalable data pipelines, optimizing model inference, and collaborating with researchers to bring new models from prototype to production.
This role will involve working closely with cross-functional teams to develop automated workflows for training, deployment, and monitoring of machine learning models.
Required Skills:- Generative AI Experience: Expertise in deploying diffusion-based or similar generative models into production.
- MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
- Infrastructure & Cloud: Hands-on with AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Infrastructure-as-Code (Terraform).
- Data Foundations: Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).
- Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered.
- Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices.
- Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals.
We're looking for a talented individual who can make a significant impact on our team. If you're passionate about machine learning and eager to take on new challenges, we encourage you to apply.
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