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A bachelors/Master degree in computer science, machine learning or related fields
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3+ years of machine learning experience in industry
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Proficient in at least one programming language such as Golang, Python, Scala, or Java
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Strong understanding of machine learning approaches and algorithms
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Extensive knowledge of ML frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
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Experiences of Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, cloud platforms (specifically, AWS)
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Familiarity with machine learning lifecycle management, including feature engineering, model training, validation, deployment, A/B testing, monitoring, and retraining
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Experienced in MLOps and managing production machine learning lifecycle is a plus
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Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning is a plus
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Prior working experience with building GenAI or llmops platforms is a plus
