11+ years of experience preferred.

Advanced degree in computer science, data science, or a related field.

Deep understanding of LLM architectures, algorithms, and techniques.

Strong experience in Python, SQL. Should be extremely comfortable with Numpy,

Pandas, Matplotlib and Scikit learn python libraries

Strong understanding of machine learning concepts and algorithms. Should know deep

learning techniques such as clustering, decision trees, random forest, etc.

Knowledge on text classification, sentiment analysis, named entity recognition, machine

translation, text summarization and question-answering is must.

Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)

Experience with data labeling and annotation tools.

Certifications in cloud platforms or ML technologies can be a plus.

Proficient knowledge of cloud platforms (AWS, GCP, Azure).

Strong problem-solving and analytical skills.

Ability to work in team-oriented, collaborative environment.