Sr. Machine Learning Engineer (Sr. SDE), OTS DataTech

$151,300 - $261,500/Yr

Amazon - Austin, TX

Full-time - Mid Level

Austin, TX

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Sr. Machine Learning Engineer at OpsTech Solutions (OTS) is responsible for building and maintaining an MLOps Platform that supports end-to-end AI/ML operations. This role involves shaping the vision and roadmap for AI/ML initiatives, promoting the adoption of AI/ML solutions across the organization, and contributing to the development of data infrastructure that supports the DataMesh framework. The position requires collaboration with cross-functional teams to ensure the successful implementation of machine learning systems and engineering best practices.

Responsibilities

• 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.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of leading design or architecture 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.

Nice-to-haves

• 5+ years of experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience developing, building and implementing complex software systems and machine learning systems that have been successfully delivered to customers.
• Experience developing, building, and implementing data engineering pipelines and infrastructure.
• Experience with AWS technologies.
• Experience with Infrastructure as Code (IaC) and AWS Cloud Development Kit (CDK).
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes, Airflow)
• Experience with MLOps tools and frameworks (e.g., SageMaker, MLflow).
• Background in AI/ML, including GenAI, supervised and unsupervised learning, and optimization algorithms.
• Experience with ML frameworks (e.g., PyTorch, TensorFlow) and application development frameworks (e.g., LangChain).
• Experience with big data technologies (e.g., Hadoop, Spark).

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan