Principal Architect - Machine Learning
Chicago, Illinois, United States
USD 147K-191K Senior-level Full Time
Tasks
- Architect machine learning infrastructure and services
- Build batch and real-time data pipelines
- Build cloud native machine learning infrastructure
- Deploy LLMs to production
- Deploy and serve machine learning models
- Design machine learning platform components
- Develop Flink applications
- Develop Spark applications
- Develop tools and apps for ML automation
- Establish ML engineering best practices
- Evaluate LLM model performance
- Implement LLMOps processes
- Manage end to end LLM lifecycle
- Optimize and fine-tune Generative AI/LLM models
- Set up containers and serverless platforms
- Support distributed model training
Perks/Benefits
- 401k
- Commuter benefits
- Employee assistance program
- Flight privileges
- Health and wellness benefits
- Paid Holidays
- Paid time off
- Parental leave
Skills/Tech-stack
AWS | AWS CodePipeline | ArgoCD | Autoregressive models | C plus plus | CatBoost | Docker | ECS | EKS | Fine Tuning | Flink | Flux | GAN | Generative AI | GitOps | Go | Instruction Fine-Tuning | Java | Jenkins | Kubernetes | LLMOps | LLMs | Language Processing | Natural Language | Natural Language Processing | NoSQL | NumPy | Prompt engineering | PySpark | PyTorch | Python | RAG | RDBMS | Retrieval-Augmented Generation | SQL | Spark | TensorFlow | VAE | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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