Staff AI Data Scientist

📋 Description

• Develop and deploy ML models for production use cases (supervised, unsupervised, deep).
• Design experiments and metrics; run offline/online evaluations (A/B, holdouts, causal analyses).
• Fine-tune and evaluate large language models for domain-specific tasks.
• Collaborate with data engineering to define features, datasets, and pipelines.
• Translate problems into scoped modeling solutions with cross-functional teams.
• Build monitoring and evaluation frameworks to track model performance, drift, and fairness.

🎯 Requirements

• Master's or PhD in CS, Statistics, Math, or related quantitative field.
• 3+ years building and deploying ML models in production.
• Proficiency in Python and ML frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face.
• Strong background in statistical modeling, experimental design, and evaluation.
• Experience with cloud platforms (AWS, GCP, or Azure) for training/serving.
• Familiarity with LLM fine-tuning (LoRA, RLHF, instruction tuning) and serving.

🎁 Benefits

• Commitment to diversity, inclusion, and employees' well-being.