Machine Learning Engineer

Summary

Join our team as a highly motivated Machine Learning Engineer to build AI and automation solutions for healthcare and life sciences clients. You will focus on back-end development, data transformation, experimenting with AI/ML models, and selecting optimal solutions. This critical role involves designing scalable and secure solutions within an Azure-based infrastructure. The ideal candidate possesses AI/ML experience, a strong software engineering background, and a passion for exploring cutting-edge technologies. A 4-month contract with potential for a full-time role is offered, along with fully remote work flexibility.

Requirements

• Software Engineering: 5+ years of experience in back-end development, with expertise in Python and SQL
• Data Processing: Proficient in designing and implementing ETL pipelines, data transformation, and integration
• Machine Learning: Ability to explore, test, and implement a wide range of machine learning models for diverse problem domains, particularly in OCR, NLP, or document analysis
• Azure Expertise: Hands-on experience with Azure services like Azure Functions, Azure Data Factory, and Azure AI
• Compliance Knowledge: Familiarity with handling sensitive data and meeting regulatory requirements (e.g., HIPAA)
• Collaboration: Strong communication skills and experience working in cross-functional teams
• Results: Proven ability to lead projects and deliver results within tight timelines

Responsibilities

• Design and implement systems to automate operational workflows, including data ingestion, transformation, and integration with client systems
• Research, design and experiment with AI models for tasks such as natural language processing (NLP), OCR-based document validation, and signature detection
• Collaborate with cross-functional teams to ensure alignment with client requirements and compliance standards
• Build scalable solutions within the Azure ecosystem, leveraging Azure services like Azure Functions, Azure Data Factory, and Azure AI
• Optimize workflows for security, efficiency, and compliance with healthcare and privacy regulations (e.g., HIPAA)
• Explore and prototype RPA solutions to automate repetitive tasks in non-API-accessible systems

Preferred Qualifications

• RPA: Experience with tools like Microsoft Power Automate, UiPath, or Automation Anywhere
• Healthcare Industry: Background in healthcare, compliance workflows, or similar domains

Benefits

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