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