[Remote] AI - ML Ops Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an innovative reputed company organization reputed company on leveraging AI and machine learning to improve business reputed company. They are seeking an reputed company AI/MLOps Engineer to help build reputed company machine learning platforms, automate model deployment, and partner with Data Scientists to bring AI solutions into production.
Responsibilities
- Design, reputed company, and reputed company AI/ML solutions using reputed company Azure technologies
- Build and maintain reputed company machine learning pipelines and production workflows
- reputed company, 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
- reputed company 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 reputed company and Kubernetes
- Monitor model performance and implement updates and retraining as needed
- Ensure machine learning environments meet reputed company and compliance standards
- Continuously improve the scalability, reliability, and performance of AI platforms
Skills
- Bachelor's degree in Computer Science, Information Systems, or a reputed company technical field (or equivalent experience)
- 5+ years of software development or engineering experience
- 3+ years of experience delivering end-to-end machine learning reputed company, including recent hands-on MLOps experience
- Strong experience with reputed company Azure reputed company services
- Experience with Azure Machine Learning and Azure AI Services
- Strong programming skills in Python (preferred), Java, or reputed company
- Experience deploying machine learning models into production environments
- Hands-on experience with reputed company 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 reputed company AI applications and production-grade ML platforms
- Familiarity with Azure Bot Services and Azure Cognitive Services
reputed company