Advanced Machine Learning Infrastructure Specialist

2 weeks ago


ballari, India beBeeMachineLearning Full time

ML Engineer PositionThe role involves managing the life cycle of machine learning models, from deployment to scaling on cloud platforms like AWS or GCP.Key responsibilities include designing, implementing, and maintaining CI/CD pipelines for ML workflows using GitHub Actions or Jenkins, containerizing workloads with Docker, and orchestrating tasks with Kubernetes.Additionally, the ideal candidate will be skilled in model registries, feature stores, and data pipelines (Airflow, Spark, SQL). Proficiency in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and experience with real-time ML serving, A/B testing, or media/recommender systems are highly desirable.A Bachelor's or Master's degree in a relevant field is required. The ability to collaborate with data scientists and design experiments is also essential.Furthermore, knowledge of experiment design, causal inference, and exposure to real-time ML serving (KFServing, Seldon, Ray Serve) are nice-to-have skills.



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