EA Machine Learning Engineer

$145,600 - $177,840/Yr

Cynet Systems - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

Professional, Scientific, and Technical Services

About the position

The EA Machine Learning Engineer will be responsible for designing, developing, and deploying end-to-end AI/ML applications at scale. This role involves architecting robust systems for AI/ML workflows, building scalable data pipelines, and collaborating with cross-functional teams to integrate AI/ML solutions into existing products. The engineer will also optimize application performance and ensure smooth deployment through CI/CD pipelines.

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

• 5+ 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 ML Ops 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.