What are the responsibilities and job description for the Sr Lead AI Data Engineer - 100% onsite work and onsite interview position at Unisoft Technology Inc?
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
15 years of experience in software or data engineering, with at least 4 years focused on ML systems or MLOps in a production environment.
Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units.
Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
Hands-on experience with MLOps tooling: Kubeflow, MLflow, Airflow, or equivalent.
Experience with cloud-native data and ML services on AWS.
Working knowledge of LLMs, prompt engineering, and RAG architecture patterns.
Experience with containerization and orchestration (Docker, Kubernetes).
Strong understanding of data engineering concepts: pipelines, feature stores, data quality, and lineage.