Strong understanding of machine learning and deep learning algorithms, with hands-on experience in areas such as: Time series forecasting, anomaly detection, generative models, reinforcement learning, transformers, BERT, GPT, T5, and...
Description:Collaborate with team members, including business partners, data engineers, and platform architects, to find opportunities and translate requirements into scalable technical solutions.Design and supervise the implementation of real-time and batch decision-making systems powered by innovative machine learning approaches.Ensure the operational health of deployed systems by supervising and responding to adversarial trends with agile decision-making.
- Strong understanding of machine learning and deep learning algorithms, with hands-on experience in areas such as: Time series forecasting, anomaly detection, generative models, reinforcement learning, transformers, BERT, GPT, T5, and conversational models.
- Working knowledge of large-scale distributed systems (e.g., Hadoop, Spark) and cloud computing platforms such as AWS Sagemaker.
- Advanced programming skills in Python, Java, Scala, or C++ for building and scaling ML systems.
- Shown leadership experience, including leading and mentoring high-performing teams.
- Outstanding verbal and written communication skills, with the ability to convey meticulous mathematical and technical concepts to diverse audiences, including executives and non-experts.
- Demonstrated ability to develop and implement data-intensive pipelines and applications.
- Shown overseas work experience, with a strong ability to lead multicultural teams and collaborate across global regions.
- Creativity to explore novel features, signals, and methodologies to push the boundaries of ML solutions.