GENAI Architect & Data Scientist

• Perform exploratory data analysis (EDA) and feature engineering.
• Implement NLP, deep learning, and statistical modeling solutions.
• Design experimentation frameworks and A/B testing methodologies.

MLOps & Deployment

• Build CI/CD pipelines for ML and GenAI models.
• Deploy models using cloud platforms (AWS, Azure, GCP).
• Monitor model performance, drift, and governance compliance.
• Implement data security, privacy, and responsible AI standards.

Leadership & Strategy

• Define AI architecture standards and best practices.
• Provide technical mentorship to data scientists and engineers.
• Partner with business leaders to identify AI use cases and ROI.
• Stay current with advancements in GenAI, LLMs, and AI governance.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or related field (PhD preferred).
• 5+ years of experience in Data Science, Machine Learning, or AI Engineering.
• 2+ years of experience working with Large Language Models (LLMs) and Generative AI systems.
• Strong programming skills in Python (e.g., PyTorch, TensorFlow, Scikit-learn).
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex).
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