Note: The job is a remote job and is open to candidates in USA. Revel IT is an innovative healthcare organization focused on leveraging AI and machine learning to improve business outcomes. They are seeking an experienced AI/MLOps Engineer to help build scalable machine learning platforms, automate model deployment, and partner with Data Scientists to bring AI solutions into production.
Responsibilities
- Design, develop, and deploy AI/ML solutions using Microsoft Azure technologies
- Build and maintain scalable machine learning pipelines and production workflows
- Deploy, monitor, and optimize machine learning models in production environments
- Automate ML model deployment through CI/CD pipelines
- Partner closely with Data Scientists and Data Engineers to operationalize machine learning models
- Develop AI-powered solutions including natural language processing (NLP), recommendation engines, sentiment analysis, image recognition, and chatbot capabilities
- Implement Azure AI Services, Azure Machine Learning, and Azure Cognitive Services
- Utilize containerization technologies such as Docker and Kubernetes
- Monitor model performance and implement updates and retraining as needed
- Ensure machine learning environments meet security and compliance standards
- Continuously improve the scalability, reliability, and performance of AI platforms
Skills
- Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience)
- 5+ years of software development or engineering experience
- 3+ years of experience delivering end-to-end machine learning projects, including recent hands-on MLOps experience
- Strong experience with Microsoft Azure cloud services
- Experience with Azure Machine Learning and Azure AI Services
- Strong programming skills in Python (preferred), Java, or Scala
- Experience deploying machine learning models into production environments
- Hands-on experience with Docker and Kubernetes
- Experience implementing CI/CD pipelines for machine learning solutions
- Experience with MLflow or Kubeflow
- Experience with TensorFlow, PyTorch, or scikit-learn
- Background in natural language processing (NLP)
- Experience building enterprise AI applications and production-grade ML platforms
- Familiarity with Azure Bot Services and Azure Cognitive Services
Company Overview