Overview

Join our innovative team as a Mid-Level Machine Learning Engineer, where you will contribute to cutting-edge AI solutions that drive our business forward. We are looking for a passionate problem solver who thrives in a collaborative environment and is eager to harness the power of modern technologies.

Key Responsibilities

• Design, develop, and implement machine learning models to solve complex business problems.
• Collaborate with data scientists and software engineers to integrate ML solutions into production systems using AWS and Google Cloud.
• Optimize and maintain existing ML models while ensuring they are scalable and efficient using Docker and cloud services.
• Work with databases like MongoDB, Redis, and PostgreSQL to manage data effectively for model training and evaluation.
• Participate in code reviews and contribute to best practices in machine learning and software development.
• Stay up-to-date with the latest advancements in ML technologies and techniques to continuously improve our systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in machine learning engineering or a related role.
• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS or Google Cloud, and containerization tools like Docker.
• Experience with web development frameworks (Next.js, React, Node.js) and modern programming languages (Go, TypeScript, Swift, Kotlin).

Nice to Have

• Experience with Supabase for real-time databases and backend services.
• Knowledge of frontend development using Tailwind CSS.
• Familiarity with Agile methodologies and experience working in cross-functional teams.

What We Offer

• Competitive salary range of $90,000 to $120,000 annually, based on experience.
• Flexible hybrid work environment that supports work-life balance.
• Opportunities for professional development and continuous learning.
• Inclusive company culture that values diversity and encourages collaboration across all levels.