- Design, develop, test, deploy and maintain large-scale machine learning models using Python and relevant libraries such as TensorFlow or PyTorch.
- Collaborate with cross-functional teams to integrate ML solutions into existing systems and applications.
- Develop data pipelines using AWS/GCP services like S3, Glue, Dataflow etc. to process large datasets.
- Troubleshoot issues related to model performance, data quality, and deployment on Docker containers using Kubernetes.
Job Requirements :
- 8-13 years of experience in Machine Learning Engineering with expertise in Computer Vision.
- Robust proficiency in programming languages such as Python and familiarity with popular libraries like OpenCV.
- Experience working with cloud platforms (AWS/GCP) for building scalable data pipelines.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
📌 ML Engineer (Noida)
🏢 QBurst
📍 Noida
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