MLOps Engineer [Apply Now] - (MO239)

MLOps Engineer [Apply Now] - (MO239)

Role Summary:

The ML Ops Engineer will be responsible for designing, building, and maintaining the infrastructure and processes for deploying and managing machine learning models in production.

Responsibilities:

- Understand and translate business and functional needs into machine learning problem statements
- Translate complex machine learning problem statements into specific deliverables and requirements
- Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
- Translate machine learning algorithms into production-level code
- Collaborate with development teams to test and deploy machine learning models
- Monitor the performance of deployed models, track data or concept drift, and update or retrain models as needed
- Ensure adherence to performance standards and compliance with data security requirements
- Keep abreast with new tools, algorithms and techniques in machine learning and work to implement them in the organization

Education:

- A bachelor's degree in computer science, data science, applied mathematics, software engineering, or related; master’s degree preferred
- Specialization in applied machine learning or machine learning infrastructure preferred

Experience:

- 5-7 years of experience in developing and deploying enterprise-scale machine learning solutions in a software engineering-adjacent field
- Experience developing and debugging in Python
- Exposure to architectural patterns of large-scale software applications

Required skills:

- Knowledge of working on any Cloud Environment (GCP preferred)
- Proficiency in deploying machine learning algorithms as production ready API services

The original job offer can be found in Kit Job:
https://www.kitjob.in/job/118473414/mlops-engineer-apply-now-mo239-chennai/?utm_source=html