You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities :

- Analyze raw data: assessing quality, cleansing, structuring for downstream processing

- Design accurate and scalable prediction algorithms

- Collaborate with engineering team to bring analytical prototypes to production

- Generate actionable insights for business improvements

Qualifications :

- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering,

Responsibilities :

- Develop and fine-tune Transformer models (e.g., BERT, RoBERTa, XLNet) for NLP tasks (e.g., text classification, sentiment analysis, named entity recognition)

- Collect, pre-process, and annotate datasets for NLP model training

- Conduct research and stay up-to-date with advancements in Transformer architectures and NLP

- Develop and fine-tune conversational AI models (e.g., intent recognition, sentiment analysis, dialogue management)

Requirements :

- 3+ years of experience in NLP, machine learning, and data science

- Master's or Ph.D. in Computer Science/Data Science (Preferable)

- Experience with deep learning frameworks

- Clarity on fundamentals of NLP and ML algorithms

- Excellent problem-solving and communication skills

What We Offer :

- Competitive salary and benefits package.

- Opportunities for professional growth and development.

- Collaborative and dynamic work environment.etc.