Data Scientist II

📋 Description

• Build and fine-tune large-scale models (LLMs/transformers) for domain tasks.
• Apply PEFT methods like LoRA, adapters, and prefix tuning.
• Collaborate with product/engineering to deploy ML models in production.
• Design ML pipelines and MLOps, including experiment tracking.
• Work with large datasets and data pipelines using Spark/Databricks.
• Scale ML workloads on cloud/HPC; optimize GPU/TPU use.

🎯 Requirements

• 3+ years in applied ML and DS; MS/PhD or equivalent.
• Strong ML/DL/NLP background; experience fine-tuning foundation models.
• Proficiency in PyTorch, TensorFlow, and HuggingFace.
• Experience with PEFT techniques (LoRA, adapters, prefix tuning).
• Experience with ML pipelines and MLOps (CI/CD).
• Experience with Spark/Databricks and cloud ML services.

🎁 Benefits

• Equal opportunity employer; value diversity.
• Growth-focused team with cross-functional collaboration.