REQUIREMENTS

• 7+ years of experience in data science, machine learning, or AI engineering
• 3+ years in a senior or principal-level architectural role
• Strong proficiency in Python and common ML/AI frameworks (TensorFlow, PyTorch, Scikit-Learn, transformers libraries)
• Hands-on experience with:
  • Cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI)
  • Data engineering tools (Spark, Databricks, Airflow, Kafka)
  • LLM architectures, fine-tuning, embeddings, vector stores (FAISS, Pinecone, Weaviate)
  • MLOps tools (MLflow, Kubeflow, DVC, CI/CD pipelines)
• Solid understanding of distributed computing, APIs, microservices, and containerization (Docker, Kubernetes).

PERSONAL CHARACTERISTICS

• Strong communication skills and ability to translate complex technical concepts for non-technical audiences
• Strategic mindset with experience influencing pr...