Description

Apply advanced machine learning and NLP techniques to solve complex data problems, including LLM fine-tuning and model deployment.

This role is on-site.

Responsibilities

• Implement machine learning algorithms for dimensionality reduction, clustering, embeddings, and sequence classification.
• Develop and fine-tune large language models using prompt engineering and benchmarking techniques.
• Build and manage data models using relational, NoSQL, and vector databases.
• Deploy machine learning models within cloud environments and distributed computing systems.

Required Skills

• Strong Python programming background.
• Experience with deep learning frameworks: PyTorch, TensorFlow, Keras, Hugging Face Transformers.
• Practical NLP experience: spaCy, word2vec, Flair, BERT.
• Hands-on experience with LLM frameworks: LangChain, LlamaIndex.
• Proficiency with vector stores: Postgres, Elasticsearch/OpenSearch, or ChromaDB.
• Knowledge of cloud platforms: AWS, GCP, or Azure.
• MS in Data Science or Computer Science.
• 2+ years of professional experience.

Preferred Skills

• Knowledge of Scala, Spark, or Ray for distributed computing.
• Experience with API development, containerization, and ML deployment.
• Experience with Client Ops or AI Ops.

Key Skills

Education

MS in Data Science, Computer Science