Python Engineer for Data-Driven Finance Apps (AWS)

Machine Learning Technologies, LLC; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Machine Learning Technologies, LLC in New York, NY is seeking a software engineer with a focus on Python-based ML services. You will design, code, test, and support reliable software applications that meet high-quality standards, and collaborate with product teams to prioritize development sprints.

You will participate in cross-functional requirements gathering, perform code reviews, and contribute to a culture of merit-based growth.

Qualifications

• 2-5 years of experience in Python programming.
• Strong background in mathematics, algorithms, logic, and statistics.
• Extensive database experience (MySQL preferred; SQL/Postgres also valuable).
• Bachelor’s or Master’s degree in Computer Science or STEM field.
• Proficiency with Python packages, such as Pandas, NumPy, DashApps.
• Hands-on experience with AWS (RDS, EC2, serverless) and Open Container Initiative (OCI) container packaging and runtime.
• Interest and knowledge in finance, particularly Options, Stocks, and Bonds.

Responsibilities

• Design, code, test, and support reliable, robust software applications and services that meet high-quality standards
• Participate in cross-functional feature requirements gathering, design, and implementation
• Collaborate with product management to prioritize and organize development sprints
• Perform code reviews and provide timely, constructive feedback to fellow engineers

Skills

Python programming

Mathematics, algorithms, statistics

Pandas/NumPy

Dash Apps

Education

Bachelor’s or Master’s degree in Computer Science or STEM field

Tools

MySQL

PostgreSQL

AWS (RDS, EC2, serverless)

OCI container packaging/runtime

Job description

Machine Learning Technologies, LLC in New York, NY is seeking a software engineer with a focus on Python-based ML services. You will design, code, test, and support reliable software applications that meet high-quality standards, and collaborate with product teams to prioritize development sprints.

You will participate in cross-functional requirements gathering, perform code reviews, and contribute to a culture of merit-based growth.