Job Description

At ST Engineering, we work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritize open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We\'re looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities:

• Develop, refine, and implement state-of-the-art algorithms for product research and development or solutions via ensemble or artificial intelligence model workflow.
• Build APIs to host models as a microservice / container
• Perform architectural/technical design, technical prototyping, development, and reviews
• of sophisticated data/algorithmic pipelines
• Communicate and negotiate technical/analytical solutions and architectural designs with diverse stakeholders
• Staying abreast of developments in data science
• Write Technical Documentation

Requirements:

• Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, or similar) or equivalent practical experience with 5 years of industry experience.
• At least 3 years of experience working with Python, Pytorch and TensorFlow or relevant experience in data science team where the analytical solutions are deployed/integrated into mature production systems.
• Experience with

• Univariate and multivariate Linear models, machine learning and deep learning models.
• Machine learning Operations (MLOps):

• Exploratory data analysis (EDA)
• Data Prep and Feature Engineering
• Model training and tuning
• Model review and governance
• Model inference and serving
• Model monitoring
• Automated model retraining

Work location: near Jurong East MRT

ST Engineering