Project Growth is hiring a
Software Engineer

Summary

The job description is for a Software Engineer position focusing on AI and ML, with remote work and specific hours. The key responsibilities include supporting ML data pipelines, model training integration & hosting, full stack development, cross-functional collaboration, communication, and analysis. Qualifications required are 4+ years of experience in full-stack development, technical skills in programming languages such as Python, JavaScript, and Java, ML expertise, AWS familiarity, startup experience, excellent communication skills, strong analytical ability, and the ability to work independently.

Requirements

• Experience: 4+ years of experience in full-stack development with a focus on backend systems
• Technical Skills: Proficiency in programming languages such as Python, JavaScript, and Java
• ML Expertise: Experience with supporting enterprise-scale ML data pipelines and model hosting for low-latency inference
• Communication: Excellent verbal and written communication skills
• Analytical Ability: Strong analytical skills for problem-solving and data analysis
• Independence: Ability to work independently and demonstrate self-motivation

Responsibilities

• ML Data Pipeline Support: Design, develop, and maintain enterprise-scale machine learning data pipelines and data licensing marketplace, ensuring efficient data flow and integration
• Model Training Integration & Hosting: Integrate training pipelines for machine learning models and host ML models for low-latency interference
• Full Stack Development: Contribute to full stack development with a focus on backend systems, ensuring seamless integration and functionality
• Cross-Functional Collaboration: Work closely with cross-functional teams to gather requirements, provide technical insights, and ensure successful project execution
• Communication and Analysis: Utilize excellent communication and analytical skills to effectively convey technical concepts and analyze complex problems

Preferred Qualifications

• AWS Familiarity.: Familiarity with AWS systems is a plus
• Startup Experience: Prior experience in a startup environment is advantageous