
Machine Learning Operations Engineer
14 hours ago
Job Title: Machine Learning Operations Engineer
At our organization, we're seeking a skilled Machine Learning Operations Engineer to lead the development and implementation of our machine learning models.
We are looking for someone with strong hands-on experience on MLOps and AIOps using Google stack. The ideal candidate will have good knowledge of DevOps and CI/CD, as well as experience in modelling and deployment.
The role also requires working knowledge of Git, Google Cloud Platform, and Azure, with a strong understanding of cloud infrastructure. Additionally, the candidate should have experience working with Google LLM and Datadog.
This is a hybrid work opportunity that offers a dynamic and challenging environment. If you're passionate about machine learning and operations, we encourage you to apply.
- Main Responsibilities:
- Develop and implement machine learning models using Google stack
- Collaborate with cross-functional teams to integrate ML models into production environments
- Ensure data quality, security, and compliance throughout the ML lifecycle
- Work closely with engineering teams to design and deploy scalable ML architectures
- Required Skills:
- Strong hands-on experience with MLOps and AIOps using Google stack
- Good knowledge of DevOps and CI/CD principles
- Experience in modelling and deployment of machine learning models
- Working knowledge of Git, Google Cloud Platform, and Azure
- Experience working with Google LLM and Datadog
- Strong understanding of cloud infrastructure and scalability
About Us:
We offer a competitive salary, comprehensive benefits package, and opportunities for growth and professional development.
Please note that this job description is not an exhaustive list of responsibilities. We're open to discussing your qualifications and interests further.
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