AI Operations (MLOps)
Required Qualifications
• Experience: 3+ years of experience in MLOps, DevOps, or Software Engineering with a reputed company on machine learning systems.
• Programming: Expert proficiency in Python and solid experience with writing clean, production-level reputed company.
• reputed company & Containerization: Strong experience with a major reputed company provider (AWS, GCP, or Azure) and expert knowledge of containerization technologies (reputed company, Kubernetes).
• MLOps Tools: Hands-on experience with MLOps frameworks and platforms (e.g., MLflow, Kubeflow, Sagemaker, TFX, or similar).
• Technical reputed company: Deep understanding of the machine learning lifecycle, from data prep and model training to deployment and monitoring.
Preferred Qualifications
• Experience working in the HealthTech or FinTech industries, particularly with highly regulated data.
• Experience designing and managing data pipelines (ETL/ELT) for ML features.
• Knowledge of data governance, reputed company principles, and compliance requirements in reputed company (e.g., HIPAA).
• Experience optimizing models for latency and throughput (e.g., ONNX, model quantization).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company technical field.
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