Machine Learning Engineer

Responsibilities:

• Build machine learning and deep learning models based on financial and other modalities like images and text
• Devise new research methods to solve bleeding edge problems and get a chance to work on publishable outcome
• Conduct in-depth analysis of machine learning models and pioneer research methodologies to address cutting-edge challenges
• Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
• Design and develop robust, scalable pipelines and systems using software engineering best practices
• Implement end-to-end solutions, including architecture design, business logic, and deployment
• Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
• Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements:

• Master's or Bachelor's degree in Computer Science, Engineering, or a related field with 4+ years of relevant industry experience
• Solid grasp of computer science fundamentals and core concepts in machine learning
• Strong knowledge in Deep Learning, Linear Algebra, Probability, Data Structures and Algorithms
• Proficiency in Python for data manipulation, PostgreSQL for database management, and Flask for web development
• Strong understanding of object-oriented programming principles and software design patterns
• Experience with RESTful APIs and micro-services architecture
• Strong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must