Senior AI/ML Engineer
245 Summer St, Boston MA, United States
USD 107K-216K Senior-level Full Time
Tasks
- Build AI ML services in Kubernetes
- Build automated retrieval metrics
- Build search information retrieval pipelines
- Create chunking and embedding strategies
- Design vector database abstractions
- Develop ACID compliant data processing
- Develop streaming data ingestion
- Eliminate redundant document processing
- Ensure data resilience and restartability
- Implement RAG ingestion pipelines
- Implement event driven systems for ingestion and inference
- Instrument distributed tracing
- Instrument performance metrics
- Instrument retrieval quality metrics
- Optimize concurrency and async I O
- Perform failure forensics
- Read and refactor open source code
- Ship developer APIs SDKs CLIs templates
Perks/Benefits
- Educational assistance
- Emotional well-being support
- Employee matching charitable giving
- Health care
- Learning resources
- Paid time off
- Parental leave
- Retirement plan
- Student loan repayment
- Tuition reimbursement
Skills/Tech-stack
AWS | Asynchronous I/O | Backpressure | CI/CD | Caching | Chunking | Concurrency | Distributed tracing | Docker | EC2 | ETL | Embeddings | Event Driven | Event-driven architecture | I/O | IAM | Information Retrieval | Infrastructure as Code | Kubernetes | Lambda | NoSQL | Pagination | Performance Tuning | Python | RAG | RDS | Retrieval metrics | S3 | SQL | Search | Streaming Data | Vector Database | “as-code”
Education
N/A
Roles
AI | AI/ML Engineer | Backend | Backend Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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