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# AI/ML Engineer

- **Company:** TekWissen LLC
- **Location:** Woonsocket, RI, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Information Engineering, EHealth, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Standard Sql, Azure Machine Learning, Software Engineering, SQL Databases, Data Processing, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Google Vertex AI, Llamaindex, Generative AI, Git, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, Docker, Databricks, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.careerjet.com/jobad/us5529a3d27712f56a7a18ce9294a645a5

## About the Role

* 5 8+ Years of Experience is required.
 * 5+ years of experience in AI/ML engineering, data science, or software development.
 * Strong programming skills in Python.
 * Experience with Machine Learning algorithms and statistical modeling.
 * Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
 * Experience with Generative AI, LLMs, and prompt engineering.
 * Knowledge of LangChain, LangGraph, or LlamaIndex.
 * Experience with RAG, embeddings, and vector databases.
 * Strong SQL and data processing skills.
 * Experience with REST APIs and microservices.
 * Cloud experience with AWS, Azure, or GCP.
 * Experience with Docker, Kubernetes, Git, and CI/CD.
 * Understanding of data privacy and security requirements.

Preferred Qualifications

 * Healthcare, pharmacy, health insurance, or PBM (Pharmacy Benefit Management) experience.
 * Knowledge of HIPAA, PHI, and PII data protection.
 * Experience with healthcare claims, prescription data, eligibility, and patient engagement datasets.
 * Experience with AWS SageMaker, Azure Machine Learning, or Google Vertex AI.
 * Knowledge of Databricks, Spark, and MLflow.
 * Experience deploying AI solutions in production healthcare environments., * Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

## Description

* Client is seeking an experienced AI/ML Engineer to design, develop, and implement Artificial Intelligence and Machine Learning solutions across healthcare, pharmacy, and digital health platforms.
 * The ideal candidate will have strong expertise in Python, Machine Learning, Generative AI, LLMs, cloud technologies, and data engineering.
 * The engineer will help build intelligent solutions that improve healthcare operations, pharmacy workflows, patient experiences, claims processing, predictive analytics, and operational efficiency., * Design, develop, and deploy machine learning models for healthcare and pharmacy applications.
 * Develop predictive analytics solutions for healthcare operations, claims, and patient engagement.
 * Build AI-powered applications using Python, TensorFlow, PyTorch, and Scikit-learn.
 * Develop Generative AI applications using LLMs and prompt engineering.
 * Implement RAG pipelines, vector databases, embeddings, and AI-powered search solutions.
 * Process and analyze large healthcare datasets using Python, SQL, and cloud data platforms.
 * Build and maintain scalable AI services and REST APIs.
 * Develop model training, deployment, monitoring, and MLOps pipelines.
 * Collaborate with data engineers, software developers, healthcare stakeholders, and product teams.
 * Ensure compliance with HIPAA, healthcare data privacy, security, and responsible AI standards.