Professional, Software Engineer - AI

Design, develop, and maintain high-quality, scalable software solutions focused on AI. Implement best practices in coding, testing, and documentation. Collaborate with architects to ensure robust system design. Stay current on AI trends, emerging technologies, and industry best practices. Evaluate and integrate AI tools, frameworks, and cloud-native technologies. Deploy models using cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Implement MLOps practices for model monitoring and lifecycle management. Design, develop, and deploy machine learning (ML) and deep learning models for production environments. Implement data pipelines, feature engineering, and model optimization for scalability and performance. Integrate AI models into applications using APIs, SDKs, and microservices architectures. Collaborate with DevOps teams to implement CI/CD pipelines for AI models. Develop interaction flows for AI-powered interfaces (e.g., conversational agents, recommendation systems). Ensure AI systems adhere to ethical standards, regulatory requirements, and internal policies. Identify and mitigate risks related to AI model bias, data privacy, and system reliability. Be an advocate for AI at MVP literacy through training programs and mentorship of the MVP community. Contribute to our humble pursuit of excellence by performing various responsibilities that may arise, reflecting our collective goal of enhancing healthcare delivery and being the difference for the customer. Where you’ll be: Hybrid – 4x/week in-office, 1 day remote (Schenectady, NY)