ML Model Deployment Specialist
2 days ago
The role of the Machine Learning Expert involves designing, developing, and implementing MLOps pipelines for the continuous deployment and integration of machine learning models. This position requires a strong understanding of machine learning concepts, experience with MLOps tooling, and excellent problem-solving skills.
Key Responsibilities:
- Design and implement MLOps pipelines using industry-standard tools such as Azure ML.
- Collaborate with cross-functional teams to integrate machine learning models into production environments.
- Analyze complex issues and develop effective solutions to improve model performance.
Requirements:
- 5+ years of experience in machine learning engineering or a related field.
- Strong knowledge of MLOps concepts, including data ingestion, feature engineering, and model deployment.
- Experience with Azure ML or other MLOps platforms.
- Excellent problem-solving skills and ability to troubleshoot complex issues.
Benefits:
This role offers a dynamic work environment, opportunities for professional growth, and a competitive compensation package. If you are a motivated and experienced machine learning engineer looking for a new challenge, we encourage you to apply.
About Us:
We are a company that values innovation, collaboration, and excellence. We believe in empowering our employees to drive success and make a meaningful impact. Join us and be part of a team that is shaping the future of machine learning.
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Hyderabad / Secunderabad, Telangana, India beBeeMachineLearning Full timeJob Title:">Azure Machine Learning Engineer - Model Deployment Specialist
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