Sr. Machine Learning Engineer (Data Science)
USD 167K-216K (estimate) Senior-level Full Time
Tasks
- Build AI agents for forecasting and quotation workflows
- Design develop and deploy forecasting models
- Design feature stores and data pipelines in BigQuery and Cloud Storage
- Develop and maintain production ML pipelines
- Document model architectures and present results
- Implement A B testing and causal inference experiments
- Implement MLOps monitoring and drift detection
- Integrate ML outputs into agentic workflows
- Optimize model performance with tuning and cross validation
- Perform exploratory data analysis feature engineering and hypothesis testing
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | AI Pipelines | ARIMA | B testing | BigQuery | Causal Inference | Cloud Composer | Cloud Functions | Cloud Storage | CrewAI | Cross-validation | Drift Detection | Ensemble Methods | Exponential Smoothing | Fine Tuning | Hyperparameter Tuning | LIME | LLM Fine-tuning | Langchain | Llamaindex | MLflow | Model Interpretability | Model Monitoring | NumPy | Pandas | Prompt engineering | Prophet | PubSub | PyTorch | Python | RAG | Retrieval-Augmented Generation | SHAP | SQL | Scikit-learn | Series analysis | StatsModels | TensorBoard | TensorFlow | Time Series | Time Series Analysis | Vertex AI | Vertex AI Agents | Vertex AI pipelines | Weights and Biases
Education
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