Associate Machine Learning Engineer

In this fully remote role, you will contribute to the development and deployment of machine learning solutions that support data-driven decision-making and enhance digital products used by millions of users. You will work alongside experienced machine learning engineers, data scientists, data engineers, and cloud infrastructure specialists to build scalable AI and machine learning capabilities. Your responsibilities will include supporting automated data pipelines, model deployment processes, and cloud-based engineering infrastructure. You will gain hands-on experience with modern technologies while contributing to innovative projects that improve product performance, reliability, and customer experiences. This is an excellent opportunity for an early-career engineer passionate about AI, software development, and continuous learning to grow within a collaborative, technology-driven environment.

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Machine Learning, or another related quantitative discipline.

• 0–2 years of experience in machine learning engineering, software engineering, data engineering, or a related technical field.

• Internship experience, academic research, capstone projects, or equivalent practical experience in artificial intelligence, machine learning, or software development is preferred.

• Experience using Python through academic projects, internships, research, or professional work.

• Foundational understanding of machine learning concepts, algorithms, model development, and deployment processes.

• Familiarity with software engineering fundamentals, including version control, software testing, debugging, and code review practices.

• Basic understanding of data engineering principles, data structures, and automated pipeline development.

• Exposure to cloud computing platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage.

• Strong analytical thinking and problem-solving abilities, with the capacity to investigate technical challenges and develop practical solutions.

• Excellent communication and collaboration skills, including the ability to work effectively with both technical and non-technical stakeholders.

• Demonstrated curiosity, adaptability, and enthusiasm for learning emerging technologies and improving engineering practices.

• Ability to manage assigned tasks independently while recognizing when guidance or support from senior colleagues is needed.

• Interest in how machine learning infrastructure and AI-driven solutions can improve customer experiences and business outcomes.

Preferred Qualifications:

• Academic or professional experience in human resources, social sciences, or psychology.

• Contributions to open-source projects, particularly those involving Python.

• Demonstrated interest in emerging machine learning technologies, AI infrastructure, and modern engineering practices.

• Motivation to explore innovative tools and approaches that improve the scalability, reliability, and performance of machine learning solutions.