Judi Health
Tech / AI / Software
SeniorMachineLearningEngineer
“Senior Machine Learning Engineer at Judi Health. Skills: AI/ML/GenAI, Machine Learning, Python, LLM, NLP, NLG, RAG, conversational AI. 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.”
What You'll Achieve.
enabling increased productivity and magical experiences in our products and services; build amazing capabilities for our customers, partners, and employees; make lasting impact towards transforming healthcare
Industry & Context.
Excellent problem-solving skills; capacity for logical thinking
adherence to the Capital Rx Code of Conduct including reporting of noncompliance, Ensure the security and compliance of healthcare data, adhering to HIPAA regulations
What They're Looking For.
Must Have
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 focus on ML solutions development and production deployment, grasp of OOP, Design Patterns, efficient algorithms, and quality software development, 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 capacity for logical thinking, Passion for customer, innovation, product quality, service excellence, and test engineering, 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
Nice to Have
Telephony technologies, such as Twilio is a big plus
What You'll Do.
and productionize machine learning (ML) solutions in the fields of Document understanding
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
Participate in code reviews
and quality assurance processes.
Troubleshoot and resolve technical issues related to AI model
deployment and backend services.
Implement system telemetry
A 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
and architectural decisions.
Ensure the security and compliance of healthcare data
adhering to HIPAA regulations.
How You'll Work.
Team & Collaboration
Work across the complete lifecycle of ML model development; Participate in code reviews; The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment; Good written communication skills that enable collaboration in a remote environment
Communication Scope
Good written communication skills
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