Senior ML Engineer

What You'll Do:

• Lead the deployment, optimization, and maintenance of production ML models for document analysis, prioritizing scalability and reliability.
• Design and implement robust ML pipelines for automated data ingestion, processing, and model deployment.
• Own and optimize our ML infrastructure, integrating seamlessly with GCP and Firebase.
• Collaborate closely with engineering teams to integrate ML solutions into our platform.
• Establish continuous monitoring for production models, ensuring optimal performance.
• Explore and integrate new ML engineering tools and techniques.
• Mentor junior engineers and promote best practices in ML deployment.

What You'll Need:

• 5+ years of experience building and deploying production-level ML systems, with a focus on infrastructure and scalability.
• Strong Python skills (Node.js a plus) and experience with ML frameworks (TensorFlow, PyTorch, etc.).
• Deep understanding of ML pipelines, model lifecycle management, and large-scale data processing.
• Experience deploying ML on GCP (Firebase a plus).
• Strong problem-solving skills and the ability to thrive in a fast-paced environment.
• Excellent communication and collaboration skills.