Solutions Architect, AI/ML
SnowflakeFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 10+ years of experience in AI/ML model development, deployment, and lifecycle management.
Key skills include deep expertise in Databricks, AWS Services, Cloud Platforms, LLMs, generative AI, advanced NLP, Python, SQL, Spark, PyTorch, TensorFlow, Keras, Hugging Face Transformers, MLOps/LLMOps, DevOps, CI/CD, Docker, and Kubernetes.
You'll join a dynamic, fast-paced Global FPE (Foundational Platforms Engineering) team focused on building and scaling world-class cloud-native platforms, with collaboration and creativity at its core.
This information is not specified in the job description.
A strong candidate has a proven track record of architecting large-scale AI/ML systems, experience leading MLOps strategies, demonstrated ability to mentor engineering teams, and excellent communication and stakeholder management skills.
Designs and sells athletic footwear and apparel
Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.