Company Description
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Role Description
This is a part-time freelance / contract role in the AI / ML healthcare domain requiring 9+ years of experience. The professional will contribute to the design, implementation, and management of AI / ML models and solutions tailored to healthcare applications. Day-to-day tasks include analyzing data, collaborating with cross-functional teams, refining machine learning models, and ensuring solutions align with contractual agreements. This is a fully remote role, offering flexibility in work hours.
Job Summary :
We are seeking a highly skilled AI / ML Engineer to design, build, and scale
AI-driven solutions within our medical billing platform. The ideal candidate
will have hands-on experience with machine learning, natural language
processing (NLP), and generative AI (LLMs), along with strong software
engineering fundamentals. This role involves working closely with product,
engineering, and data teams to deploy production-grade AI models that directly
impact healthcare operations and revenue cycle outcomes.
Responsibilities and Duties :
for use cases like claim automation, document classification, anomaly
detection, and revenue prediction.
using scalable APIs and microservices.
authorization, insurance verification, and claims summarization.
clean, and prepare large datasets for modeling.
performance and inference latency.
and product managers to deliver end-to-end intelligent
solutions.Research & Innovation : Stay current with the latest AI
technologies, frameworks, and methodologies to integrate into Zealie’s
product suite.
using GCP AI / ML services or similar platforms.
Qualifications and Skills :
engineering, including 3+ years focused on AI / ML development and
deployment.
Core Skills :
Python, TensorFlow / PyTorch, Scikit-learn, NLP / LLM
frameworks (Hugging Face, LangChain, OpenAI API, Vertex AI).
versioning, and serving (Vertex AI, MLflow, Kubeflow, or SageMaker).
(BigQuery, Vertex AI, Cloud Functions, AI APIs).
feature engineering.
(Git), and production system integration.
technical and non-technical stakeholders.
research and implementation tasks in a fast-paced environment.
Nice to Have :
management.
integration.
Education :
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence,
Data Science, or a related field.
Domain • vapi, gujarat, in