EA ML Engineer

$126,880 - $135,200/Yr

Maxonic - Sunnyvale, CA

Full-time

Sunnyvale, CA

Professional, Scientific, and Technical Services

About the position

The EA ML Engineer is responsible for designing, developing, and deploying AI/ML applications at scale. This role focuses on architecting robust systems for AI/ML workflows, building scalable data pipelines, and collaborating with cross-functional teams to integrate AI solutions into existing products. The position plays a key role in developing APIs, optimizing application performance, and ensuring the seamless deployment of models in production environments.

Responsibilities

• Design, develop, and deploy end-to-end AI/ML applications at scale
• Architect robust and scalable systems for AI/ML workflows
• Build and maintain scalable data pipelines and infrastructure to support AI/ML operations
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products
• Develop and implement APIs to enable communication between machine learning models and other systems
• Optimize the performance of AI/ML applications through testing, tuning, and profiling
• Ensure the smooth deployment of AI/ML models by integrating continuous integration/continuous deployment (CI/CD) pipelines

Requirements

• 1+ years of professional experience building end-to-end AI/ML applications
• Strong system design skills with experience architecting complex, scalable AI/ML systems
• Strong software engineering skills with proficiency in Python and/or C++/C/Java
• Knowledge of DevOps practices and CI/CD pipelines
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Experience with distributed systems
• Solid understanding of data structures, algorithms, and software design principles
• Expertise in MLOps practices, tools, and workflows
• Experience in integrating AI/ML models into production environments with performance monitoring and version control
• Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and containerization technologies

Nice-to-haves

• Familiarity with Generative AI models and techniques
• Experience with chatbot development, particularly using RAG techniques or similar
• Contributions to open-source ML projects