AI Engineer - Hybrid
USA, Massachusetts, Boston, 200 Berkeley Street, United States
R
USD 90K-167K Senior-level Full Time
Tasks
- Build observability using logs metrics and alerts
- Build reusable ML and GenAI pipelines
- Deploy models using CI CD and containerization
- Design build and deploy production AI and ML solutions
- Engineer AI services with APIs and event driven architecture
- Ensure AI solutions meet security compliance and governance needs
- Evaluate and adopt AI platforms and tools
- Implement GenAI and LLM-based solutions
- Monitor production models for performance and drift
- Operationalize machine learning and predictive analytics
Perks/Benefits
Skills/Tech-stack
AKS | API Design | Alerting | Anomaly Detection | Apache Spark | Automated testing | Azure | Azure DevOps | Azure Machine Learning | Azure OpenAI | CI/CD | Classification | Data Drift | Databricks | Deep learning | Delta Lake | Docker | ELT | ETL | Embeddings | Feature Engineering | Forecasting | Generative AI | GitHub Actions | Integration Testing | Kubernetes | LLM | LLMOps | Logging | MLOps | MLflow | Machine Learning | Model Drift | Model Governance | Model Monitoring | Monitoring | Predictive Analytics | Prompt engineering | Python | Regression | Retrieval-Augmented Generation | Risk scoring | SQL | Supervised Learning | Unit Testing | Unsupervised Learning | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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