Senior Machine Learning Engineer

• BS in Computer Science, Engineering, or related field (Master’s preferred).
• 8+ years in machine learning with a focus on deploying models in production; experience with foundation models like Stable Diffusion, SAM, DINO, and Vision Transformers.
• Strong proficiency in Python, C++, or Java, and familiarity with development best practices (version control, CI/CD, testing).
• Expertise in frameworks like TensorFlow, PyTorch, and OpenCV; experience deploying models at scale.
• Experience with MLflow, Kubeflow, or Apache Airflow.
• Skilled in computer vision algorithms (segmentation, detection, generation).
• Experience with AWS, GCP, or Azure, and containerization (Docker, Kubernetes).
• Skilled in large-scale dataset management, preprocessing, and augmentation.
• Strong collaboration skills, especially in fast-paced, cross-functional environments.
• Excellent analytical and problem-solving skills in computer vision and AI.
• Experience with tools like Prometheus, Grafana, or ELK Stack.
• Experience in healthcare or medical imaging is a plus.

Responsibilities for the Senior Machine Learning Engineer:

• Build and enhance generative AI and computer vision models for improved image analysis.
• Write scalable, maintainable, high-quality code for seamless integration of models into production environments.
• Design and maintain end-to-end machine learning pipelines, ensuring efficiency and scalability.
• Partner with R&D, product, and regulatory teams to align models with clinical and regulatory standards.
• Optimize and fine-tune models for performance, accuracy, and clinical standards.
• Work with software engineering teams to integrate ML models into broader platforms.
• Keep detailed documentation of processes and ensure adherence to regulatory requirements.
• Stay current with advancements in AI, applying innovations to improve company products.