Project Growth is hiring a
Machine Learning Engineer

Summary

The job is for a Machine Learning Engineer who will contribute to the development and optimization of technical infrastructure and support enterprise-scale ML data pipelines and model hosting solutions. This role requires 4+ years of experience in full-stack development, proficiency in programming languages, expertise in ML, familiarity with AWS systems, excellent communication skills, strong analytical ability, and independence.

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