Engineering Manager, Data Science and Machine Learning

As an Engineering Manager, AI & ML (Data Collection), you will lead a multidisciplinary team of engineers and data scientists responsible for building AI & ML solutions and services as part of robust data collection pipelines handling large volumes of unstructured data.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Mathematics, Data Science, or a related field.
• 6+ years of experience in software engineering, with a focus on AI & ML technologies, particularly in data collection and unstructured data processing.
• 3+ years of experience in a leadership role managing individual contributors.
• Strong expertise in NLP and machine learning, with hands-on experience in classifiers, large language models (LLMs), and other NLP techniques.
• Extensive experience with data pipeline and messaging technologies such as Apache Kafka, Airflow, and cloud data platforms (e.g., Snowflake).
• Expert-level proficiency in Java, Python, SQL, and other relevant programming languages and tools.
• Strong understanding of cloud-native technologies and containerization (e.g., Kubernetes, Docker) with experience in managing these systems globally.
• Demonstrated ability to solve complex technical challenges and deliver scalable solutions.
• Excellent communication skills with a collaborative approach to working with global teams and stakeholders.

Benefits

• Hybrid work environment
• Four days in-office each week
• Other benefits to enhance flexibility