AI Fund's AI Engineer for Personalized Experiences
hace 1 semana
Job Description: We're seeking an exceptional AI Engineer to join our team. You'll be responsible for designing and implementing state-of-the-art recommender systems that enhance personalized experiences across digital and physical platforms. Your expertise in leveraging Generative AI will play a crucial role in driving innovation and success.
Main Responsibilities:
- Design and implement scalable machine learning pipelines using Databricks and Spark.
- Develop and refine machine learning models to tackle complex problems, optimizing performance through parameter tuning and experimentation.
- Collaborate with software engineers, data scientists, and business stakeholders to integrate models into production and address key business challenges with machine learning solutions.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience as a Machine Learning Engineer, demonstrating successful development and deployment of recommender systems.
- Strong programming skills in languages such as Python, along with experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
- Extensive experience handling large-scale data processing and analysis using Spark/PySpark within Databricks, including its native platform services.
Benefits: As an AI Engineer at Factored, you'll have the opportunity to work on cutting-edge projects, collaborate with a dynamic team, and contribute to the development of innovative AI solutions.
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