GenAI Developer
- Machine Learning
- Python
- ETL
- AWS
- Azure
- GCP
- AI
- RAG
- Devops
- MLOps
- CI/CD
- Docker
- Kubernetes
- Git
Toronto- 4 days onsite
JOB DESCRIPTION:
"GenAi Developer with 6 to 7 experaince
Must to Have
Design and develop efficient maintainable and reusable Python scripts for data extraction transformation and loading ETL in GenAI application
Demonstrate strong proficiency in the Python programming language
Collaborate with cloud platforms eg AWS Azure GCP to build Generative AI GenAI applications
Develop implement and maintain APIs to integrate GenAI models into applications and workflows
Conduct research and experiments to explore innovative generative AI techniques such as AI agents hybrid RAG optimization and workflow orchestration
Apply expertise in generative AI concepts including document storage chunking vector databases RAG implementation and basic finetuning methods
Nice to Have
Champion DevOps and MLOps practices focusing on continuous integration deployment and AI model monitoring
Previous experience leveraging tools like Docker Kubernetes and Git to build and manage AI pipelines
Experience implementing monitoring and logging solutions to ensure the performance and reliability of AI models
Collaboration experience with software engineering and operations teams for seamless AI model integration and deployment
Possess familiarity with DevOps and MLOps methodologies emphasizing CICD processes and AI model lifecycle management "
GenAI Developer · Epsilon Solutions LTD