Machine Learning Engineer
Machine Learning Engineer
Posted on :
05-08-2025
Employer Active
1 Vacancy
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Job Description
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Responsibilities
- 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).
- Work closely with enterprise cloud architects to align AI solutions with client s infrastructure standards.
- Contribute to the evolution of the best practices around AI/ML systems in production environments.
Qualifications
- Minimum 6 years of experience as a Data Scientist with at least 3 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.
Education
- Bachelor s degree in Computer Science Electronic Engineering Data Science or a related field.
Employment Type
Full Time
Key Skills
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