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AI ML Engineer
Nimbus Data Systems · Hyderabad · Indexed today
About the role
Operationalize AI models for production, ensuring scalability and efficiency while collaborating with data scientists.
Job Description: As a Machine Learning Engineer, you will: Operationalize AI models for production, ensuring they are scalable, robust, and efficient. Work closely with data scientists to optimize machine learning model performance. Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment. Collaborate with cross-functional teams to integrate AI models into products and services. Responsibilities : Develop and deploy scalable machine learning models
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Responsibilities
- ▸Operationalize AI models for production
- ▸Optimize machine learning model performance
- ▸Deploy and manage AI models using Docker/Kubernetes
- ▸Integrate AI models into products and services
Must-have skills
- ▸machine learning
- ▸docker
- ▸kubernetes
- ▸python
Nice-to-have skills
- ▸ai
FAQ
Is the AI ML Engineer role at Nimbus Data Systems remote?+
This AI ML Engineer position is listed as onsite (Hyderabad).
What is the salary for the AI ML Engineer role at Nimbus Data Systems?+
The listing states 560000-1120000 INR.
What seniority level is this AI ML Engineer role?+
This is a mid level position.
What skills does the AI ML Engineer role require?+
Key requirements include machine learning, docker, kubernetes, python.
How do I apply for the AI ML Engineer role at Nimbus Data Systems?+
Use the "Apply on cutshort" button to open the original posting on cutshort, where you can submit your application directly to Nimbus Data Systems.