Senior AI Engineer
USD 107K-199K Senior-level Full Time
Tasks
- Build and maintain ML and GenAI pipelines
- Build observability logging tracing metrics and alerts
- Continuously improve solution quality scalability and cost efficiency
- Deploy models and AI services using cloud native practices
- Design build and deploy production AI and ML solutions
- Ensure AI solutions are secure compliant explainable and governed
- Evaluate and adopt AI platforms and tools
- Implement GenAI and LLM solutions
- Integrate AI services with business workflows via APIs and event driven systems
- Mentor junior engineers and data scientists
- Monitor model performance data drift and model drift
- Operationalize predictive analytics and machine learning models
- Support model governance documentation validation and model lineage
- Translate business needs into scalable AI products
Perks/Benefits
Skills/Tech-stack
AKS | API Design | Alerts | Anomaly Detection | Apache Spark | Azure | Azure DevOps | Azure Machine Learning | Azure OpenAI | CI/CD | Classification | Dashboards | Data Quality | Databricks | Deep learning | Delta Lake | Docker | Document Intelligence | ELT | ETL | Embeddings | Feature Engineering | Forecasting | Generative AI | GitHub Actions | Integration Testing | Kubernetes | LLMOps | Language Models | Large Language Models | Logging | MLOps | MLflow | Machine Learning | Metrics | Model Monitoring | Model Registry | Observability | Prompt engineering | Python | Regression | Retrieval-Augmented Generation | Risk scoring | SQL | Segmentation | Text Summarization | Tracing | Unit Testing | Vector Databases | Vector Search | Version control
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Senior AI Engineer
Regions
Countries
States
Cities
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