
Senior Machine Learning Engineer
3 days ago
Key Responsibilities:
- Develop predictive and analytical models using machine learning techniques.
- Collaborate with data engineers to define data requirements.
- Deploy machine learning models into production environments.
- Build automated pipelines for model training and retraining.
Required Skills:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn).
- Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow).
- Good understanding of data engineering concepts (ETL, APIs).
- Hands-on experience with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cloud platforms (AWS, GCP) for ML model deployment.
Preferred Qualifications:
- Bachelor's/Master's degree in Computer Science or Data Science.
- Experience in handling large-scale data pipelines.
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