Machine Learning Engineer
il y a 3 jours
Job Summary:
We are looking for a skilled Machine Learning Engineer to build and deploy scalable ML models, with a focus on big data processing, recommender systems, and music information retrieval (MIR). You will collaborate with cross-functional teams to solve complex challenges and deliver intelligent, data-driven solutions.
Key Responsibilities:
- Develop, optimize, and deploy machine learning models at scale.
- Build and improve recommender systems and personalization algorithms.
- Work with large-scale data pipelines using Apache Spark.
- Conduct feature engineering, model training, and evaluation using best practices.
- Stay current on advancements in ML, recommender systems, and MIR technologies.
Requirements:
- Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
- Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with big data tools like Apache Spark.
- Experience building or working on recommender systems.
- Familiarity or experience with Music Information Retrieval (MIR) is a strong plus.
- Proficient in Python; experience with cloud platform (AWS) is a plus.
- Solid understanding of data structures, algorithms, and production-grade ML deployment.
Bachelor s or Master s degree in Computer Science, Data Science, or a related field. Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with big data tools like Apache Spark. Experience building or working on recommender systems. Familiarity or experience with Music Information Retrieval (MIR) is a strong plus. Proficient in Python; experience with cloud platform (AWS) is a plus. Solid understanding of data structures, algorithms, and production-grade ML deployment.
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