Job highlights

- Experience deploying and managing AI / ML models in production.
- o Bachelor s / Master s in Computer Science,Cloud Computing,or AI / ML-related field. .
- Cloud & Infrastructure. Strong experience with IBM Cloud or Azure Cloud Services (Azure OpenAI,Azure Kubernetes Service,Azure Machine Learning). . AI & MLOps.

Cloud & Infrastructure Robust experience with IBM Cloud or Azure Cloud Services (Azure OpenAI, Azure Kubernetes Service, Azure Machine Learning).

AI & MLOps

Experience deploying and managing AI/ML models in production.

Knowledge of MLOps practices (Airflow)

Familiarity with ML model drift detection and performance tracking.

Experience with vector databases for AI applications is a plus.

Soft Skills

Strong problem-solving and troubleshooting skills.

Ability to work in a cross-functional AI squad

Excellent communication skills to explain AI/ML DevOps concepts to non-technical stakeholders.

Qualifications

Experience

o 3+ years in DevOps, Cloud Engineering, or MLOps roles.

Education & Certifications:

o Bachelor s/Master s in Computer Science, Cloud Computing, or AI/ML-related field.

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