Junior ML Engineer

Requirements:

• Bachelors degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
• 1–2 years of hands-on experience in machine learning or AI development.
• Experience working on at least 1–2 end-to-end machine learning projects in academic or professional environments.
• Exposure to NLP, computer vision, or LLM-based applications is preferred.
• Proficiency in Python.
• Familiarity with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Basic understanding of machine learning, neural networks, deep learning, NLP fundamentals, and transformer-based models. Basic understanding of REST APIs and backend integration.
• Experience using Git for version control.
• Basic knowledge of Docker, cloud platforms (AWS, GCP, or Azure), Linux environments, and MLOps fundamentals is a plus.
• Understanding of evaluation metrics such as accuracy,...