Remote Machine Learning Engineer

Role: Machine Learning Engineer
Responsibilities: Develop end-to-end ML solutions, collaborate with cross-functional teams, lead MLOps frameworks, monitor model performance, implement scalable AI/ML systems, develop API integrations, and participate in architecture discussions to ensure compliance and performance.
Qualifications: Bachelor’s degree in relevant fields, 3+ years of ML development and MLOps experience, proficiency in Python and SQL, experience with cloud environments and distributed compute, strong debugging and system design skills, and excellent communication abilities.
Preferred Skills: Experience with Databricks, LLM solutions, and compliant ML platform design.

Key Attributes: Motivated, flexible, eager to learn, problem solver, and team player committed to delivering impactful, reliable, and scalable ML solutions in healthcare.