Senior Machine Learning Engineer I - Voice

Senior Machine Learning Engineer I – Voice

Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment.
Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph.
Experience working with voice AI technologies and conversational AI.
Familiarity with cloud platforms such as AWS or Azure.
Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
Experience working with microservices/an API-based application paradigm.
Good written communication skills that enable collaboration in a remote environment.

Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
Participate in code reviews, testing, and quality assurance processes.
Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
Document and communicate development processes, system designs, and architectural decisions.
Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.