Full Stack Web Developer - Python(Flask) with React/NodeJS

**Job Description** You will be part of a US startup that is dedicated to creating a flexible work environment for individuals interested in designing and building machine learning solutions using Python. The company prioritizes work/life balance, offering remote work opportunities with flexible hours to accommodate your lifestyle. As a Python developer with 0-4+ years of experience, you will have the chance to contribute to Analytics/Machine Learning projects and gain valuable experience in a Startup setting. **Key Responsibilities** - Write Python code focusing on scalability, supportability, and maintainability - Software development, configuration, and customization - Guide, mentor, and manage junior team members and interns - Diagnose and resolve issues in production - Collaborate with development teams to determine application requirements and enhance the technology suite - Assess and prioritize client feature requests **Qualifications Required** - Bachelors or Masters in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or related quantitative fields (Ph.D. candidates encouraged to apply) - Proficiency in Python Web Development with Flask - Knowledge of React/NodeJS Web Development - Familiarity with SQL, Unix, Docker, Git, and relational Databases - Strong analytical, design, problem-solving, and troubleshooting/debugging skills - Experience in DevOps and deployment pipelines for software deployment - Understanding or willingness to pick up SkLearn/spark libraries and other machine learning packages for web servers - Knowledge of software design patterns and engineering best practices - Ability to work independently in a home office and take ownership of projects **Additional Company Details** The company is a Remote First Company, offering 100% remote work with flexible hours. They provide a competitive salary ranging from 2,50,000 to 7,00,000 a year, along with growth potential in a company slated for extreme growth. You will have the opportunity to work with exceptional leadership and collaborate with leading minds in finance, statistics (machine learning), and econometrics. Please note that candidates must complete a pre-screening behavioral assessment form as part of the application process to be considered for the position.,