
AI Innovator
2 weeks ago
We are seeking a skilled Senior Machine Learning Engineer to join our team. In this role, you will be working at the intersection of Generative AI and MLOps.
You will collaborate with researchers to bring new models from prototype to production and ensure they deliver meaningful value. You will build and maintain production pipelines for diffusion-based and related generative models.
Your work will have a direct and visible impact: you will enable teams across the organization to deliver AI-powered features faster, more reliably, and at scale.
Requirements:- Generative AI Experience: Experience deploying diffusion-based or similar generative models into production and working with inference optimization techniques.
- 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).
- Performance & Efficiency: Proficient in techniques such as quantization, distillation, caching, and distributed inference.
- Data Foundations: Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).
- Engineering Craft: Strong Python skills and a focus on writing clear, maintainable, and collaborative code.
- 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 and offer flexible work arrangements.
- Empowering Growth: Your development is our priority, and we offer continuous learning opportunities and career growth tailored to your goals.
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