Job Description
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...
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