AI/ML Architect
Tasks
- Architect scalable Python based ML solutions
- Conduct architecture reviews and code reviews
- Define standards best practices and governance for responsible AI
- Define success metrics with cross functional teams
- Design end-to-end AI/ML architectures
- Evaluate new AI capabilities and strategies
- Lead evaluation and selection of AI ML tools frameworks and platforms
- Mentor engineers and data scientists
- Oversee technical design ensure quality reliability and security
- Provide expert guidance across ML lifecycle
- Shape AI roadmap with product and engineering leadership
- Support development of LLM applications vector database architectures and RAG systems
Perks/Benefits
- Challenging tasks
- Close cooperation with customer
- Competence development
- Dynamic environment low level bureaucracy
- Team of professionals
Skills/Tech-stack
API | AWS SageMaker | Apache Airflow | Apache Kafka | Apache Spark | Artificial Intelligence | Azure Machine Learning | CI/CD | DVC | Databricks | Distributed Computing | Docker | Faiss | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Kubeflow | Kubernetes | MLflow | Machine Learning | Microservices | Pinecone | PyTorch | Python | Scikit-learn | TensorFlow | Transformers | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI/ML Architect | Architect | Learning Architect | ML Architect | Machine Learning Architect
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