
Advanced Machine Learning Expert
2 days ago
We are seeking a seasoned machine learning engineer to develop, train, and validate predictive and analytical models using advanced statistical techniques.
Key Responsibilities:
- Design and implement machine learning algorithms for model development and deployment
- Collaborate with data engineers and business stakeholders to define data requirements and success metrics
- Develop and maintain automated pipelines for model training, testing, and retraining
- Optimize model performance and ensure scalability, reliability, and robustness
- Monitor model drift and performance degradation, ensuring continuous improvement
- Implement DevOps practices for machine learning workflows
Required Skills and Qualifications:
- 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 experience 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
Preferred Qualifications:
- 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
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