Cloud MLOps Engineer
4 days ago
Job Title: Cloud MLOps Engineer
At EXL, we are seeking a highly skilled MLOps Engineer to join our team. This role involves driving ML prototypes into production, ensuring seamless deployment and management on cloud at scale.
About the Role:
- Drive ML prototypes into production, ensuring seamless deployment and management on cloud at scale.
- Monitor real-time performance of deployed models, analyze data, and proactively address performance issues.
- Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability.
About You:
- You have a strong background in MLOps with experience in deploying and managing machine learning models in production environments.
- You are proficient in Python (3.x) and SQL, with extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- You have hands-on experience with version control applications (GIT), model deployment and monitoring, data processing, and problem-solving.
About Our Offer:
- We offer an estimated salary range of $120,000 - $180,000 per year, based on your skills and experience.
- We provide opportunities for growth and development in a dynamic and collaborative environment.
- We offer comprehensive benefits, including health insurance, retirement savings, and paid time off.
What We Are Looking For:
- Bachelor's or master's degree in computer science, Data Science, or a related field.
- A minimum of 4 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments.
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