Senior Machine Learning Engineer
September 20
Description
• Design, develop, and deploy machine learning models for video streaming and content recommendations. • Collaborate with teams to build scalable machine learning solutions leveraging large datasets. • Optimize algorithms for user engagement and personalized content delivery. • Maintain machine learning infrastructure using AWS tools.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 5+ years of experience in machine learning engineering or software engineering with a focus on machine learning, video streaming, and content personalization. • Strong programming skills in Python, Java, or C++. • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. • Proficiency in deploying machine learning models in production environments, including containerization (Docker) and orchestration (Kubernetes). • Familiarity with cloud platforms such as AWS, particularly with services like Amazon SageMaker, AWS Lambda, and Amazon S3 for machine learning workflows. • Knowledge of video streaming protocols, video encoding, compression algorithms, and adaptive bitrate streaming. • Expertise in personalization techniques, such as collaborative filtering, content-based filtering, and location-based analytics. • Strong problem-solving skills and the ability to work in a collaborative, team-oriented environment.
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