AI, Data & Technology - AI-ML Engineer Director
Tasks
- Apply responsible AI and security guardrails
- Build applied machine learning solutions
- Create model and prompt versioning workflows
- Develop data preparation and feature engineering pipelines
- Implement AI powered batch and real time services
- Implement CI CD hooks for ML deployments
- Implement RAG pipelines with embeddings and reranking
- Instrument logging monitoring drift monitoring and cost telemetry
- Lead workstreams conduct code and design reviews
- Train finetune and evaluate ML models
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | BigQuery | CI/CD | Cloud platform | Databricks | Drift monitoring | Experiment tracking | Feature Engineering | GenAI | Google Cloud | Google Cloud Platform | IAM | Integration Testing | LLM Evaluation | LLMOps | Language Model | Large Language Model | Logging | MLOps | Machine Learning | Model Evaluation | Model Training | Monitoring | Observability | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Secrets management | Snowflake | TensorFlow | Unit Testing | Version control | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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