Machine Learning Engineer
Realtime Recruitment - boston, MA
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Job Title: Machine Learning EngineerLocation: BostonJob Type: Full-Time, Permanent ,Fully RemoteResponsibilities:Develop machine learning and deep learning models for financial data as well as other modalities such as images and novate new research methodologies to solve advanced, cutting-edge problems, with potential for publishable outcomes.Perform detailed analysis of machine learning models and explore novel research techniques to tackle emerging challenges in the field.Work collaboratively with cross-functional teams to ensure seamless integration of ML models into production systems.Design and implement robust, scalable pipelines and systems adhering to software engineering best practices.Handle end-to-end solutions, including system architecture, business logic, and deployment.Advocate for and implement rigorous testing practices, ensuring high-quality, reliable ML model rollouts.Continuously stay informed on the latest developments in machine learning and related technologies to enhance existing solutions.Requirements:Master's or Bachelor's degree in Computer Science, Engineering, or a related field, with at least 4 years of industry experience in machine learning or a closely related area.Strong understanding of computer science fundamentals, with a solid foundation in machine learning principles.Expertise in deep learning, linear algebra, probability, data structures, and algorithms.Proficiency in Python for data manipulation and model development.Experience with PostgreSQL for database management and Flask for web application development.Deep understanding of object-oriented programming principles and software design patterns.Hands-on experience with RESTful APIs and microservices architecture.Proficiency in popular Python libraries for machine learning, including but not limited to numpy, scipy, pandas, PyTorch, and scikit-learn.This role is ideal for a highly motivated individual with a strong research background, a passion for machine learning, and the drive to work on challenging problems that push the boundaries of technology
Created: 2024-10-19