Mandatory Qualifications
Expert Python: Mastery of the AI stack, including scripting, complex data manipulation, and high-performance model implementation.
Mathematical Rigor: Strong command of Calculus, Probability, and Statistics for model evaluation and custom optimization.
GenAI Expertise: Deep understanding of PEFT (Parameter-Efficient Fine-Tuning) and the inner workings of Attention mechanisms.
Cloud Engineering: Hands-on experience with GCP IAM, Cloud Functions, and GCS in the context of AI workflows.
Preferred (Good to Have)
Deep Learning Frameworks: Proficiency in PyTorch or TensorFlow.
Computer Vision & NLP: Experience with CNN architectures for image processing and BERT-based models for advanced NER or Sentiment Analysis.
Reinforcement Learning: Familiarity with RL concepts for model alignment (e.g., RLHF).
MLOps: Experience building automated CI/CD pipelines specifically for machine learning models.

Keyskills: MLOps Devops Tools Devops Engineering RAG Machine Learning Fine-tuning