Lead I - ML Engineering

Job Title: Lead I - ML Engineering Company: UST Job Category: Machine Learning Roles & Responsibilities: Role description Who we* are:* Summary: UST is looking for a strong hands\-on AI/ML Fullstack Engineer with 5 to 8 years of overall experience, combining applied AI/ML expertise (SciKit\-learn, Deep Learning, Computer Vision), Java Fullstack development, and deep Oracle Revenue Management and Billing (ORMB) domain knowledge to automate enrollment and billing processes for healthcare platforms.* The Opportunity: · Design, build, and productionize machine learning models and intelligent automation to improve billing accuracy, enrollment processing, and document/image handling. · Deliver and support Oracle Revenue Management and Billing (ORMB) configuration, Java microservices, and modern UI components. · Manage the end\-to\-end ML lifecycle from data preparation, model training, and evaluation to deployment, monitoring, and retraining. · Translate complex technical and functional requirements into robust ML models, APIs, and ORMB/Java solutions. · Resolve technical issues and errors during development, batch execution, and production support. · Act as a Point of Contact (POC), mentor junior associates, and collaborate effectively with onshore/offshore stakeholders in an Agile SCRUM environment. · Ensure adherence to coding, model governance, and testing standards through design and code reviews.* What you need: · 5 to 8 years of overall IT experience, including 3\+ years of hands\-on Machine Learning / Deep Learning development. · Strong expertise in US healthcare Enrollment \& Billing and Member Billing processes (group/individual enrollment, premium billing, invoicing, payments, adjustments, delinquency, reconciliation). · Strong logical, analytical, and problem\-solving skills with the ability to work independently and meet strict timelines. · Excellent communication and stakeholder\-management skills to articulate work and collaborate with cross\-functional teams (including Elevance Health vendors). · Flexibility to extend work hours as per project demand when necessary.* Required Skills: · Applied AI/ML \& Deep Learning: Python, SciKit\-learn, TensorFlow/PyTorch, Pandas, and NumPy · Computer Vision: OpenCV, CNNs, OCR, and document image processing (enrollment forms/billing extraction) · Java Fullstack Development: Java 8\+/11\+, Spring Boot, REST microservices, Hibernate/JPA, Angular or React · Oracle Revenue Management and Billing (ORMB): Customer, Account, Billing, Payments, Rating/Pricing configuration, Algorithms, Batch jobs, and Plug\-in scripts · Data \& SQL: Strong SQL and Oracle database skills for data extraction, feature engineering, and validation · End\-to\-End ML Lifecycle: Data prep, training, evaluation, REST/batch deployment, monitoring, and retraining* We honour our commitments and act with responsibility in all our relationships.* UST* reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.* * To support and promote the values of UST.* Scikit\-learn, Computer Vision, Enrollment, Member Billing, Oracle Revenue Management and Billing, Oracle, Java Work Location: Karnataka, India Availability: Full time

Desired Skills: · Cloud ML Platforms \& Containerization: AWS SageMaker, Azure ML, GCP Vertex AI, Docker, Kubernetes · GenAI, NLP \& MLOps: Generative AI / LLMs, MLflow, Airflow, Kubeflow · ORMB Customizations: Java/Groovy customizations, Business Services, BPA scripts, Zones, Portals, and Web Services/API integrations · Tools \& CI/CD: ETL tools, Control\-M / schedulers, Jenkins, Git, Bitbucket · Healthcare Domain: US healthcare payer domain experience (ASO/Fully Insured, Medicare/Medicaid)* Qualification: · Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent professional experience).* Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Pandas, NumPy, Model Training, Feature Engineering, NLP, Computer Vision Salary: Not disclosed