Advanced MLOps Engineer with Cloud Expertise
2 days ago
We are seeking a highly skilled Advanced MLOps Engineer to join our team at EXL. This individual will be responsible for driving machine learning prototypes into production, ensuring seamless deployment and management on cloud at scale.
About the Role:
This is an exceptional opportunity for a talented professional to contribute to the development and implementation of cutting-edge MLOps solutions. As an Advanced MLOps Engineer, you will collaborate closely with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. You will work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment.
Key Responsibilities:
- Drive ML prototypes into production, ensuring seamless deployment and management on cloud at scale.
- Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization.
- Implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment.
Requirements:
- Bachelor's or master's degree in computer science, Data Science, or a related field.
- Minimum of 4 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably in cloud-based environments.
- Proficiency in Python (3.x) and SQL, as well as extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
Benefits:
This role offers a competitive salary of $125,000 - $160,000 per annum, depending on experience, along with a comprehensive benefits package, opportunities for career growth and professional development, and a dynamic work environment.
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Noida, Uttar Pradesh, India EXL Full timeJob SummaryWe are seeking a highly skilled MLOps Engineer with expertise in cloud deployment to join our team at EXL. As an integral member of our data science group, you will be responsible for driving ML prototypes into production, ensuring seamless deployment and management on cloud-based environments.ResponsibilitiesModel Deployment and...
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