
Machine Learning Engineer
3 days ago
A seasoned machine learning operations specialist is required to drive large-scale model performance and deployment efficiency.
Key Responsibilities:
- To design, develop, and maintain complex machine learning pipelines using cutting-edge technologies.
- To collaborate with cross-functional teams to ensure seamless integration of ML models into production environments.
- To optimize model performance and deployment efficiency using industry-leading tools including Prometheus, Grafana, MLflow, Kubeflow, Weights & Biases, TensorFlow, PyTorch, and Scikit-learn.
Requirements:
- 7+ years of experience in machine learning engineering and operations.
- Expertise in machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn.
- Proficiency in Python programming language.
- Familiarity with containerization tools like Docker.
- Knowledge of CI/CD pipelines and version control systems.
- Strong understanding of data engineering concepts and distributed computing.
Preferred Qualifications:
- Masters or Ph.D. in Computer Science or related field.
- Experience with cloud platforms such as AWS or Google Cloud.
- Familiarity with DevOps practices and automation tools.
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