Senior Machine Learning Engineer, Amazon

• We are looking for a passionate, talented, and innovative Sr. Machine Learning Engineer with a background in building cutting-edge infrastructure components and platforms that are highly scalable, extensible, and robust to enable exponential growth and adoption of AI/ML within OTS
• 5+ years of non-internship professional software development experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 5+ years of programming with at least one software programming language experience
• Experience as a mentor, tech lead or leading an engineering team
• 5+ years of professional software development experience with CI/CD experience
• Bachelors or MS degree in computer science or engineering field (CE, EE, ML preferred)
• Strong communication skills, both written and verbal

Desirable

• At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations
• The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts, including Data as a Product (DaaP), enterprise data infrastructure, AI/ML capability, and supporting specific business-critical programs, fueling innovation and automation for OTS
• In this role, you will play a pivotal role in shaping the vision, roadmap, and execution of science and engineering based solutions from beginning to end
• You will be responsible to build and maintain an MLOps Platform that will support end-to-end scientific operations for a wide range of AI/ML use cases within the realms of GenAI, supervised and unsupervised learning, optimization, and more
• The MLOps Platform will streamline and standardize the entire Machine Learning Development Lifecycle including data processing, model training, deployment, and monitoring
• You will evangelize the adoption of our solutions across the organization to help OTS builder teams quickly develop and deploy reliable AI/ML solutions in scale
• By leveraging your deep technical expertise in machine learning and software engineering, you will help the DataTech team adopt engineering best practices and uplift our Operational Excellence standards
• You will be closely partnering with a cross-functional team of stakeholders including with Applied Scientists, Data Scientists, Data Engineers, Product Managers, and Technical Program Managers
• As part of other initiatives, you will also contribute to building a data infrastructure that supports our DataMesh framework, enabling engineering and BI self-service architecture for DaaP, 3P software integrations, and more
• Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!
• Build and maintain an MLOps Platform that supports end-to-end AI/ML operations
• Shape the vision and roadmap for AI/ML across the organization, leading their development from concept to deployment from an engineering perspective
• Guide teams to adopt software engineering best practices that uplift our Operational Excellence standards
• Promote and facilitate the adoption of AI/ML solutions across the organization
• Build and maintain data infrastructure that supports the DataMesh framework and enables self-service architecture

• This position will remain posted until filled. Applicants should apply via our internal or external career site