Principal, AI/ML Engineer
245 Summer St, Boston MA, United States
USD 107K-216K Senior-level Full Time Found 4d ago
Tasks
- Analyze system impacts
- Build RAG systems
- Build observability and incident response systems
- Build scalable data infrastructure
- Collaborate with cross-functional teams
- Deploy AI/ML models in cloud environments
- Design and deploy AI/ML solutions
- Design robust ETL pipelines
- Design scalable and maintainable solutions
- Develop LLM applications
- Document system architecture
- Ensure data quality and security
- Establish monitoring and model performance systems
- Implement MLOps practices
- Implement context engineering and prompt optimization
- Monitor AI performance metrics
- Optimize model serving infrastructure
- Perform exploratory data analysis
- Research emerging AI techniques
- Understand business challenges and define technical strategies
Perks/Benefits
- Benefits package
- Charitable matching
- Educational assistance
- Health care
- Paid time off
- Parental leave
- Retirement plan
Skills/Tech-stack
AWS | Airflow | Anaconda | DBT | EC2 | Embeddings | Flask | Hugging Face | Lambda | Langchain | NumPy | Pandas | Pip | Python | S3 | SageMaker | Scikit-learn | Semantic Search | Snowflake | Spark | Vector Stores
Roles
AI/ML Engineer | Engineer | ML Engineer | Principal AI/ML Engineer
Regions
Countries
States
Cities
Language: en |
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