Senior Software Engineer AI/ML Operations

Key Responsibilities

• Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines.
• Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models.
• Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance.
• Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms.
• Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows.

Requirements

• Professional Experience: 5+ years of software engineering with significant experience in full-stack development, especially in backend environments.
• Technical Expertise:
  • Strong proficiency in Python and backend frameworks.
  • Extensive experience with cloud platforms and operational best practices.
  • Familiarity with Kubernetes and other container management tools.
  • Ability to write well-structured, organized code and automated unit/E2E tests.
  • Comfortable with polyglot persistence models (SQL vs. NoSQL).
• ML Operations: Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning model deployment and lifecycle management.
• Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges.
• Communication: Excellent communication skills with the ability to collaborate effectively in a dynamic, cross-functional team.