Senior AI Engineer
USA, Massachusetts, Boston, 200 Berkeley Street, United States
USD 107K-199K Senior-level Full Time
Tasks
- Build and maintain ML and GenAI pipelines
- Deploy AI services using CI CD and automated testing
- Design build and deploy production AI and ML solutions
- Ensure AI security compliance explainability
- Evaluate and adopt AI platforms and tools
- Implement RAG and LLM based solutions
- Implement observability logging tracing metrics alerts
- Improve scalability maintainability and cost efficiency
- Integrate AI services via APIs and event driven architecture
- Mentor engineers on MLOps LLMOps best practices
- Monitor model performance and data drift
- Operationalize machine learning and predictive analytics
- Support model governance and documentation
Perks/Benefits
Skills/Tech-stack
AKS | API Design | Alerting | Automated testing | Azure | Azure DevOps | Azure ML | Azure OpenAI | CI/CD | Cloud Computing | Code Reviews | Data Drift | Data Quality | Databricks | Delta Lake | Docker | ELT | ETL | Embeddings | Experimentation | Feature Engineering | Generative AI | GitHub Actions | Guardrails | Integration Testing | Kubernetes | LLMOps | Language Models | Large Language Models | Logging | MLOps | MLflow | Machine Learning | Metrics | Model Drift | Model Evaluation | Model Monitoring | Observability | Predictive Analytics | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Secure Development | Spark | Supervised Learning | Tracing | Unit Testing | Unsupervised Learning | Vector Databases | Vector Search | Version control
Education
Roles
Regions
Countries
States
Cities
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