Data Scientist (NLP)

Data Scientist (NLP)

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP)

Roles & Responsibilities:

Develop custom data models and algorithms to apply to data sets.

Developing and implementing advanced machine learning models to address complex problems.

Clearly communicate findings and recommendations, data-driven insights to PMs and executives.

Qualifications:

Bachelor's/Master's degree in Computer Science, Engineering, or a related technical field with minimum 3 years experience.

Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models.

Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models.

Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc.

Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc.

Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters

Experience in NoSQL/SQL databases.

Good programming skills in Python.

Domain knowledge in Online Reputation management or experience in a product-based company (added advantage).

Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

Interested candidates, please send their resumes to iqbal.kaur@birdeye.com

Regards

Iqbal kaur