MLOps Expert with Cloud Infrastructure
4 days ago
EXL is seeking an experienced MLOps Engineer to drive the deployment and management of machine learning models in production environments. This is a key position that will play a crucial role in shaping our AI strategy and delivering business value through innovative solutions.
Job Responsibilities:
* Develop and maintain cloud-based infrastructure for ML model deployment, ensuring seamless integration with existing systems and processes.
* Collaborate with cross-functional teams to design and implement scalable data pipelines, leveraging expertise in ML frameworks, libraries, and databases.
* Troubleshoot and resolve complex issues related to ML model performance, scalability, and deployment, using strong analytical and problem-solving skills.
Key Skills and Qualifications:
* Minimum 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, with extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
* Strong understanding of mathematics, statistics, and algorithms, with experience in model deployment and monitoring.
* Ability to work collaboratively in a fast-paced environment, with excellent communication and interpersonal skills.
What We Offer:
* Competitive salary range: $140,000 - $180,000 per year, based on experience and qualifications.
* Opportunities for career growth and professional development in a dynamic and innovative company.
* Collaborative and inclusive work environment, with a strong focus on teamwork and mutual support.
How to Apply:
If you are a motivated and talented MLOps Engineer looking for a challenging role in a rapidly growing company, please submit your application.
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