CYNET SYSTEMS - 113 emplois
Toronto, ON
Posté aujourd'hui
Détails de l'emploi :
Télétravail
45,00 $ / heure
Temps plein
Expérimenté
Job Overview: Must to Have:
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
- 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.
- 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.
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Partager un emploi :
Foire aux questions
You would design and develop Python scripts for ETL in GenAI applications, collaborate with cloud platforms to build GenAI apps, develop APIs to integrate GenAI models, and conduct research on generative AI techniques like RAG and workflow orchestration.
Strong proficiency in Python, experience with ETL in GenAI applications, API development for GenAI model integration, and familiarity with document storage, chunking, vector databases, and basic finetuning methods.
This role is based in Toronto, ON, with a salary of $45.00–$45.00 per hour.
Nice-to-have items include DevOps and MLOps practices, Docker, Kubernetes, Git for AI pipelines, monitoring and logging solutions, and collaboration with software engineering and operations teams.
This is a full-time position with Cynet Systems, a staffing and recruiting company headquartered near Washington, DC, operating across North America.
You will design Python ETL scripts, build GenAI applications with cloud platforms (AWS, Azure, GCP), develop and maintain APIs for GenAI models, and explore generative AI techniques including agents, RAG, and workflow orchestration.
The role involves collaborating with cloud platforms and software engineering/operations teams for seamless AI model integration and deployment.
