
MLops
4 weeks ago
Description
We are seeking an experienced MLops engineer to join our team in India. The ideal candidate will have a strong background in machine learning operations and will be responsible for optimizing the deployment and monitoring of machine learning models in production.
Responsibilities
- Design and implement MLops processes to optimize machine learning model deployment and monitoring.
- Collaborate with data scientists and software engineers to integrate machine learning models into production environments.
- Manage and automate the ML pipeline to ensure smooth transitions from development to production.
- Monitor model performance and perform regular updates to improve accuracy and efficiency.
- Implement CI/CD practices for machine learning applications to ensure quality and scalability.
- Utilize cloud platforms for deploying and managing ML models at scale.
Skills and Qualifications
- 5-12 years of experience in machine learning operations or a related field.
- Strong understanding of machine learning algorithms and frameworks such as TensorFlow or PyTorch.
- Proficiency in programming languages such as Python and R.
- Experience with cloud services (AWS, Azure, GCP) for deploying machine learning models.
- Familiarity with containerization technologies like Docker and Kubernetes.
- Knowledge of CI/CD tools and practices relevant to machine learning workflows.
- Strong problem-solving skills and the ability to work in a team environment.
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