Machine Learning Engineer
Core
Build, deploy, and maintain machine learning systems for forecasting and predictive analytics to support organizational decision-making.
Role type
Senior Machine Learning Engineer (Forecasting)
Builds
Production ML systems, data pipelines, and MLOps infrastructure for forecasting use cases
Domain
AI & Data, Forecasting, Predictive Analytics
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, PyTorch, TensorFlow, MLOps, CI/CD, Azure/AWS/GCP, Docker, Kubernetes, Spark, Databricks
Preferred skills
Time-series forecasting, Bayesian models, MLFlow, Airflow, Azure ML, SHAP, Evidently, Generative AI, LLMs
Technologies
PyTorch, TensorFlow, scikit-learn, Spark, Databricks, Azure, AWS, GCP, Docker, Kubernetes, MLFlow, Airflow, Azure ML
Responsibilities
Develop and maintain ML pipelines for forecasting; Productionize statistical and ML models; Build data ingestion and feature engineering pipelines; Deploy models and manage lifecycle; Implement monitoring and automated retraining; Optimize model performance and scalability; Build reusable APIs and services; Contribute to CI/CD and MLOps workflows; Troubleshoot production issues; Document technical solutions.
Seniority
Senior, hands-on IC
