Reveal HealthTech is hiring a
Staff Machine Learning Engineer

Summary

Join us for an exciting 4-month contract as a Staff Machine Learning Engineer, working remotely in the United States. As a Technical Lead, you'll develop and deploy AI/automation solutions to streamline manual processes, leveraging constrained optimization to improve resource allocation.

Requirements

• Strong understanding of Machine Learning Algorithms, AI models, and Frameworks (e.g. TensorFlow, PyTorch)
• Experience with building data pipelines and working with large datasets
• Expertise in creating AI-driven automation tools, specifically in resource allocation and scheduling optimization
• Advanced proficiency in Python
• Experience with Azure for deploying machine learning models and managing data storage
• Ability to collaborate with subject matter experts (SMEs) to codify their expertise into a scalable, automated system
• Familiarity with RESTful APIs and microservices architecture for integrating machine learning models into existing systems
• Strong knowledge of algorithms and data structures to develop efficient, high-performance solutions
• Experience with Git, CI/CD pipelines, and containerization (Docker, Kubernetes) for model deployment and maintenance
• Proven ability to analyze complex business problems and design machine learning solutions that address real-world challenges
• Strong communication skills for working with cross-functional teams, including SMEs, data engineers, and software developers

Responsibilities

• Develop and deploy a novel AI/automation solution to streamline manual processes within a company’s internal operations
• Work closely with client subject matter experts (SMEs) who currently define the operational logic, codifying their expertise into the novel AI/automation solution

Benefits

• Fully remote work, offering flexibility and work-life balance
• Potential for a full-time role after the initial 4-month contract