AI, Data & Technology - AI-ML Engineer
Chicago, IL, United States
USD 112K-179K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI and security guardrails
- Build applied AI solutions
- Collaborate with solution architects and stakeholders
- Deliver production readiness
- Develop feature engineering pipelines
- Evaluate models and LLM outputs
- Implement AI services and APIs
- Lead workstreams and conduct reviews
- Manage experiments and model versions
- Monitor logging drift and performance
- Set up CI CD pipelines for ML
- Support inference latency optimization
- Train and fine-tune models
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | BigQuery | CI/CD | Cloud platform | Databricks | Drift Detection | Experiment tracking | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | IAM | Integration Testing | LLMOps | Language Model | Language Processing | Large Language Model | Logging | MLOps | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Secrets management | Snowflake | Unit Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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