
Data Scientist Machine Learning Engineer
11 hours ago
Job Title: Data Scientist Machine Learning Engineer
About the RoleWe are seeking an experienced Data Scientist Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning, data engineering, and software development.
Key Responsibilities- Develop, train, and validate predictive and analytical models using machine learning techniques.
- Collaborate with data engineers and business teams to define data requirements and success metrics.
- Deploy machine learning models into production using best practices.
- Build automated pipelines for model training, testing, monitoring, and retraining.
- Optimize model performance and ensure scalability and reliability.
- Monitor model drift, performance degradation, and ensure continuous improvement.
- Implement CI/CD practices for machine learning workflows.
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
- Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML).
- Good understanding of data engineering concepts (ETL, data pipelines, APIs).
- Hands-on with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.
- Strong background in statistics, machine learning algorithms, and model evaluation techniques.
- Familiarity with version control (Git) and CI/CD pipelines.
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or related field.
- Experience in handling large-scale data pipelines and real-time model serving.
- Exposure to feature stores and automated model monitoring.
- Strong problem-solving, analytical, and communication skills.
We are a dynamic company dedicated to innovation and excellence. We offer a collaborative work environment, opportunities for growth and development, and a competitive compensation package.
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