Senior Data Science & AI Engineer
Tasks
- Build DataOps and MLOps pipelines for data integration processing and monitoring
- Build proof of concepts and scalable production solutions
- Create technical documentation deployment procedures and user guides
- Deploy secure scalable AI solutions and monitor and optimize performance and business impact
- Design develop and maintain AI software data and automation solutions
- Develop LLM applications with RAG AI agents and workflow automation
- Implement CI CD pipelines and deployment maintenance and technical documentation
- Implement intelligent automation alerting and notification systems
- Integrate data from MES ERP IoT sensors and manufacturing databases with quality security and compliance
- Own solution architecture UI design coding testing and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Agile Scrum | Application Integration | C# | CI/CD | Cloud platform | Containerization | DataOps | Dataiku | Docker | Enterprise Application | Enterprise Application Integration | FastAPI | Flask | Git | Google Cloud | Google Cloud Platform | Java | JavaScript | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Mistral | Ollama | OpenAI API | Python | REST APIs | Retrieval-Augmented Generation | SQL | Secure Software | Secure Software Development | Software development
Education
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