AI Engineer building, deploying, and maintaining AI/ML systems, working with cross - functional teams and strong engineering practices at Orion.
Responsibilities
- Design, implement, and optimize the data infrastructure that supports AI and ML solutions
- Understand business needs and AI requirements
- Work in close collaboration with data scientists and software engineering teams
- Ingest and transform data for the data lake and Feature Store
- Analyze and organize raw data
- Develop and support the operationalization of AI and ML models
- Build and maintain data pipelines and AI workflows
- Conduct complex analyses and monitor data quality
- Collaborate with data scientists and architects on AI projects
Requirements
- Experience building data pipelines optimized for artificial intelligence (AI) projects
- ETL and ELT for AI data modeling
- Knowledge of ETL/ELT processes
- Languages: Python (required)
- AI frameworks: TensorFlow, PyTorch, Scikit-Learn
- Scripting: Bash/Shell for workflow automation
- Proven experience with Google Gemini
- Experience with Dialogflow (minimum 3 years)
- Experience with LangGraph
- Experience with LiteLLM
- Experience with Apigee
- Proven experience developing APIs in Python (minimum 3 years)
- Experience with CI/CD and ML automation tools such as MLflow, DVC, and Kubeflow
- Familiarity with data monitoring and validation tools
- Knowledge of SQL and NoSQL
- Ability to manage Data Lakes
- Knowledge of Feature Stores
- GCP: Experience with BigQuery and other services
- Docker and Kubernetes
- Knowledge of Terraform and CloudFormation
- Experience working with agile methodologies (Scrum/Kanban)
Benefits
- Health and safety first
- Training and professional development opportunities
- Collaborative work environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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