Applied AI ML Engineer Associate
Columbus, OH, United States
USD 177K-215K (estimate) Senior-level Full Time
Tasks
- Apply Infrastructure as Code for deployments
- Architect next-generation machine learning models
- Build scalable big data processing pipelines
- Create retrieval-augmented generation solutions
- Develop production machine learning systems
- Develop reliable secure scalable solutions
- Drive automation using ML ops tools
- Evaluate model performance with metrics
- Implement real-time predictions
- Improve data quality and feedback loops
- Integrate AI agents with tools
- Monitor machine-learning models in production
- Review debug and secure production code
- Use software development lifecycle best practices
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AI Agents | Agile | Autogen | CI/CD | CloudFormation | Deep learning | GitLab CI | GitLab CI/CD | Infrastructure as Code | Java | Jenkins | LLM | Langchain | Langgraph | MLOps | Machine Learning | Model Monitoring | NLP | OpenSearch | Python | RAG | Retrieval-Augmented Generation | Search | Secure Software | Secure Software Development | Software development | Terraform | “as-code”
Education
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