Machine Learning Engineer

ApplyBoard simplifies the study abroad search, application, and acceptance process by connecting international students, recruitment partners, and educational institutions on one intuitive and personalized platform. ApplyBoard is a mission-driven, hyper-growth organization. It has been attracting dedicated individuals for more than eight years who are inspired every day to break down barriers to international education and take their careers to new heights at a company that will invest in their career growth. Our six core values are our compass in our mission to Educate the World and the foundation of our unique company culture. As an organization built on a foundation of diversity, it’s important that our team members are representative of the students from more than 150 countries that we support.

Responsibilities:

• Design, develop, and implement machine learning algorithms and models for various applications, including natural language processing, computer vision, and predictive analytics.

• Collaborate with cross-functional teams to gather requirements, define success criteria, and deliver scalable ML solutions.

• Preprocess and analyze large datasets to extract meaningful insights and patterns. Utilize statistical techniques and data visualization tools to interpret results.

• Develop and optimize machine learning pipelines for data ingestion, feature engineering, model training, and deployment.

• Conduct experiments and A/B testing to evaluate model performance and iterate on improvements.

• Stay updated with the latest advancements in machine learning algorithms, frameworks, and technologies. Apply best practices for model interpretability, fairness, and ethical considerations.

• Work closely with software engineers to integrate ML models into production systems. Implement monitoring and alerting mechanisms for model drift and performance degradation.

• Collaborate with data engineers to ensure data quality, availability, and reliability for ML applications.

• Participate in code reviews, documentation, and knowledge sharing activities to promote best practices and continuous learning within the team.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.

• Solid understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning).

• Familiarity with natural language processing (NLP), computer vision, reinforcement learning, or other specialized areas of machine learning

• Proficiency in programming languages such as Python, R, or Java.

• Strong analytical and problem-solving skills. Ability to work with large-scale datasets and apply statistical methods for data analysis.

• Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies.

• Excellent communication skills and ability to collaborate effectively in a team environment.

Nice to Have:

• Experience with machine learning libraries/frameworks like TensorFlow, PyTorch, scikit-learn

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

• Experience with data visualization tools (e.g., Matplotlib, Tableau) and SQL databases

About ApplyBoard

ApplyBoard empowers students around the world to access the best education. With more than 1,000,000 students from over 150 countries helped with their journey in less than a decade, we are just getting started.

ApplyBoard’s 1,200 global team members in 30 countries assist students and our 1,500 partner institutions by empowering the international student sector with innovative technology and insights. As a five-time consecutive Deloitte Fast 50 and Fast 500 ranked company, ApplyBoard is growing and scaling like few other companies. On top of our strong growth, our people are growing personally and professionally. ApplyBoard India was Great Place to Work® Institute (India) certified for outstanding employee experience and workplace culture.

Thank you for your interest in joining the ApplyBoard Team and being part of our mission to Educate the World. While we are lucky to attract a high level of interest in each of our roles, only qualified applicants will be contacted and selected for an interview.

ApplyBoard welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates in all aspects of the hiring and selection process.