Machine Learning Engineer - Contract to Hire

Description:
• We are seeking a highly motivated and skilled Machine Learning Engineer to join our team.
• In this role, you will focus on building AI and automation solutions for clients in healthcare and life sciences sectors, working on back-end development, data transformation, experimenting with AI/ML models, and selecting the most suitable solution to address our client’s pain points.
• You will play a critical role in designing scalable and secure solutions within an Azure-based infrastructure.
• The ideal candidate has experience in AI/ML, a strong background in software engineering, and a passion for staying up-to-date with the latest advancements in AI and machine learning, including a willingness to explore and experiment with cutting-edge technologies to tackle new challenges.

Requirements: • 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 (nice-to-have) • 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. • 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

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