The Artificial Intelligence and Machine Learning Intern will join our dynamic Technology team in the Business Process Outsourcing (BPO) industry and will support the development and implementation of Artificial Intelligence (AI) and Machine Learning (ML) solutions. This internship offers hands-on experience in applying advanced technologies to optimize business processes and improve efficiency on both internal and external projects. This Technology Intern will work closely with experienced professionals and gain exposure to real-world projects in areas such as data analysis, natural language processing, and predictive modeling.
The ideal candidate for this position is an undergraduate student majoring in computer science or applied mathematics, seeking to apply their knowledge and skills in a professional setting and contribute to the growth and innovation of the BPO industry. Completed coursework or project experience should include aspects of AI, ML, and data analysis. We fully understand and offer flexible scheduling options, so students have the flexibility and autonomy they need as they balance classes, homework, and college life.
Responsibilities:
- Assists in the development and implementation of AI and ML models and algorithms for process automation and optimization.
- Collaborates with the Technology and Operations Teams to gather and analyze data, identify patterns, and derive insights to improve business performance.
- Explore new AI and ML techniques, frameworks, and tools to enhance existing solutions.
- Support the integration of AI and ML technologies into existing BPO processes, solutions, and page capture systems.
- Perform data preprocessing, cleaning, and feature engineering to prepare data for analysis and modeling.
- Participate in model training, validation, and evaluation, ensuring accuracy, efficiency, and scalability.
- Assist in the development of dashboards and visualization tools to effectively present analytical findings.
- Contribute to documentation, including model development, data preprocessing, and evaluation procedures.
- Collaborate with cross-functional teams to understand business requirements and provide AI and ML solutions accordingly.
- Support the implementation and maintenance of enterprise intelligent capture systems for efficient data extraction and processing.
- Understanding of artificial intelligence and machine learning concepts, algorithms, and techniques.
- Proficiency in programming languages such as Python, R, C#, or Java.
- Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or ML.net.
- Knowledge of data preprocessing techniques, feature selection, and dimensionality reduction.
- Ability to analyze and interpret complex data sets.
- Experience with data visualization tools and techniques.
- Strong problem-solving and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work collaboratively in a team environment.
- Strong organizational and time management skills.
Employment is contingent upon completing and passing a background check and drug test. MetaSource is an equal opportunity employer.
