AI/ML Engineer
AI/ML Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Design and implement scalable cloud-native ML pipelines for production AI solutions.
- Collaborate with data scientists to operationalize ML models from prototypes to production.
- Manage deployment of ML models using Azure Machine Learning and AKS.
- Develop containerize and orchestrate services using Docker and Kubernetes.
- Optimize cloud data and compute architectures to ensure cost-effective and reliable deployments.
- Implement robust monitoring logging and CI/CD practices to support AI operations (MLOps).
- Contribute to the evolution of the best practices around AI/ML systems in production environments.
- Minimum 5 years of experience as a Data Scientist with at least 2 years focused on machine learning engineering in cloud environments.
- Proven experience deploying ML models in Azure preferably with Azure Machine Learning Docker and AKS.
- Hands-on experience building cloud-native pipelines for model training scoring and monitoring.
- Familiarity with GenAI concepts and tools (experience operationalizing GenAI is a plus).
- Proficiency in Python SQL and Linux-based development environments.
- Strong understanding of MLOps principles CI/CD pipelines and production-grade APIs.
- Effective communicator with strong problem-solving skills and ability to work across teams.
- Bachelors degree in Computer Science Electronic Engineering Data Science or a related field.
Employment Type
Full-time
