AI/ML Engineer [ ML_OPS ]
The Banyan InfotechCoimbatoreOn-siteDirect career pageEst. 8–18 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, deploy, and maintain machine learning models for the company’s product suite.
- Develop and manage MLOps pipelines leveraging Docker, Kubernetes, and MLflow for reliable model deployment.
- Ensure scalability of ML models within AWS cloud environments to support production workloads.
Minimum Requirements
- Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
- Hands-on experience with MLOps tools including Docker, Kubernetes, and MLflow.
- Familiarity with deploying and scaling ML models in AWS cloud environments.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience working end-to-end on ML model development to deployment with operational responsibility.
- Comfortable managing containerized applications and orchestration in production-grade MLOps environments.
- Knowledgeable in NLP and Computer Vision algorithms indicating specialization in AI domains relevant to products.