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Wells Fargo is seeking a Lead Machine Learning Engineer to design, implement, and maintain AI platforms both on-premises and in Google Cloud Platform (GCP), requiring an understanding of AI/ML technologies, cloud infrastructure, and on-premises systems.

Requirements

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience in platform engineering, with a focus on AI/ML technologies.
• 3+ years experience with AI/ML frameworks and tools (e.g., Spark, PyTorch, Kubernetes, Docker).
• Proficiency in cloud platforms, particularly GCP.
• Knowledge of on-premises Kubernetes platforms (preferably RH OpenShift)
• Expertise in scripting and automation (e.g., Python, Bash, Terraform).
• Familiarity with CI/CD pipelines and DevOps practices.

Responsibilities

• Lead complex technology initiatives including those that are companywide with broad impact
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Architect and deploy AI platforms on-premises and in GCP, ensuring scalability, reliability, and performance.
• Provision and design optimized GCP cloud infrastructure using tools such as Terraform to support AI workloads, including compute, storage, and networking resources.
• Work with data scientists, MLOPs engineers, and other stakeholders to understand requirements and deliver robust and scalable AI solutions.
• Ensure that AI platforms adhere to security best practices and compliance requirements.

Other

• Position will require onsite presence at one of the required locations listed below in a hybrid work schedule
• This position is not eligible for Visa sponsorship
• Relocation assistance is not available for this position
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.