Principal Machine Learning Engineer - Forecasting
Tasks
- Architect build and scale production ML and LLM systems
- Define technical strategy for forecasting and AI decision systems
- Design secure integrations across enterprise systems
- Establish MLOps including model versioning CI CD retraining monitoring and observability
- Implement responsible AI guardrails and evaluation frameworks
- Influence AI and data science technical and product roadmaps
- Lead development of AI agent components with human in the loop
- Productionize statistical Bayesian deep learning and ML models
- Provide technical mentorship and engineering design review
- Research evaluate tools for forecasting LLMs agents and MLOps
- Translate ambiguous requirements into shipped software
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | API Integration | Airflow | Apache Spark | Bayesian Modeling | CI/CD | Containerization | Dagster | Deep learning | Distributed Systems | Drift Detection | FastAPI | Forecasting | Infrastructure as Code | JAX | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Serving | Model versioning | Natural Language | Natural Language Processing | Prefect | Probabilistic Modeling | PyTorch | Python | Ray | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Workflow Orchestration | “as-code”
Education
N/A
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