Description

You will apply advanced machine learning and NLP techniques to solve complex data problems.

Responsibilities

• Implement machine learning algorithms including dimensionality reduction, clustering, embeddings, and sequence classification.
• Develop and deploy NLP solutions using large language models, prompt engineering, and fine-tuning.
• Build and maintain data models using relational, NoSQL, and vector databases.
• Benchmark model performance and manage end-to-end model lifecycles.

Required Skills

• 10+ years of professional experience in data science.
• Strong Python programming background.
• Deep learning expertise with PyTorch, TensorFlow, Keras, and Hugging Face Transformers.
• Practical NLP experience with spaCy, word2vec, Flair, and BERT.
• LLM orchestration experience using LangChain and LlamaIndex.
• Proficiency with vector stores such as ChromaDB and search engines like Elasticsearch or OpenSearch.
• Experience with relational and NoSQL databases, including Postgres.
• Knowledge of cloud platforms including AWS, GCP, or Azure.
• Understanding of data modeling principles and complex data structures.

Preferred Skills

• Experience with fine-tuning and benchmarking large language models.

Key Skills

Education

Any Graduate