Machine Learning Engineer (Project Algorithmic Trading)

Responsibilities:

• Formulate real-world problems into AI/ML problems
• Research information to gain deeper understanding about the given problem and the appropriate solutions for solving it; may involve reading academic papers
• Write programs to process, sanitize, clean, manipulate data, which may be unstructured
• Build a database/corpus of relevant data for the purpose of machine learning
• Create machine learning algorithms using a combination of existing libraries/frameworks and own code
• Run experiments based on various solutions, analyze results, and produce/present reports to the team
• Productionize AI/ML systems in order to solve the assigned problems

Preferred requirements & competencies:

• Bachelor’s degree or higher in Data Engineering, Computer Engineering, Data Science or other related fields
• At least 1-2 years of experience in creating AI models.
• Having knowledge and understanding of the stock market, financial products, technical graphs, and securities trading theory is a plus
• Good understanding of the foundation of artificial intelligence and machine learning both in theory and application
• Experience in developing and deploying Machine Learning models
• Familiar with machine learning frameworks such as Tensorflow or PyTorch
• Can write complex programs fluently and efficiently
• Strong analytical skills. Can investigate and fix models’ performance issues

What We Value

• Team members who aren’t satisfied with surface-level answers.
• People who have a high sense of ownership in the work that they do and actively find ways to continually improve their quality of work.
• Team players who are always looking for ways to help out others.
• Adaptive, thoughtful, and introspective; willing to learn, teach, lead and follow.