Machine Learning Engineer - Recommender Systems, Databricks

2 days ago

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Factored

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Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science

51 - 200 employees

🤖 Artificial Intelligence

👥 HR Tech

☁️ SaaS

Description

• Factored, founded by AI experts, addresses the global shortage of qualified AI & Machine-Learning engineers. • Seeking a Machine Learning Engineer for building recommender systems and leveraging Generative AI. • Work with large-scale data using Databricks and Spark in a collaborative environment. • Enjoy a supportive team culture and flexibility to work from home.

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. • Solid understanding of machine learning algorithms, deep learning, and statistical modeling techniques. • Strong knowledge of experimental design, A/B testing, and performance evaluation metrics for machine learning solutions. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker) is a plus. • Excellent verbal and written communication skills in English.

Benefits

• Flexibility to work from home. • Supportive and dynamic team culture. • Opportunities for professional growth and shared success.