Freelance / Contract Work : Data Science|Ai / Ml|Health Care Domain 9+ Experience

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 :

• Model Development : Design, train, and optimize machine learning models

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.