Machine learning Engineer - Intern

Machine learning Engineer - Intern

Research and Development

Collaborate with senior team members to conduct research on advanced NLP techniques, including RAG models and prompting methodologies.

Model Development

Design, implement, and optimize machine learning models for NLP tasks such as text classification, entity recognition, sentiment analysis, and text generation.

Data Preprocessing

Clean, preprocess, and analyze large-scale text data to extract meaningful features and insights for model training.

Evaluation and Testing

Evaluate the performance of NLP models using appropriate metrics and conduct rigorous testing to ensure their robustness and scalability.

Documentation

Document experimental findings, methodologies, and results in a clear and concise manner for internal knowledge sharing and external publications.

Collaboration

Work collaboratively with cross-functional teams including software engineers, data scientists, and product managers to integrate ML models into production systems.

Learning and Growth

Stay updated with the latest advancements in NLP and ML research by attending conferences, reading academic papers, and participating in online courses.

Skills

• Machine Learning and Artificial Intelligence

• Data Analytics

• Programming Skills

• Data Management and Engineering

• Administration and Documentation Mastery

• Collaborative Leadership and Management Skills

• Cognitive Skills

• Misc