Mid-Level Machine Learning Engineer
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. 3years 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.