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Machine Learning Operations Specialist
3 weeks ago
About the Role:
We are seeking a highly skilled and experienced professional to join our team as an ML Ops Engineer.
The successful candidate will be responsible for ensuring the smooth operation of machine learning models in production, from deployment to monitoring and maintenance.
Key Responsibilities:
- Designing and implementing scalable and efficient data pipelines for model training and deployment.
- Developing and maintaining robust monitoring and logging systems to ensure seamless model performance.
- Collaborating with cross-functional teams to track experiments and workflow orchestration using tools like MLflow and Kubeflow.
- Knowledge of popular machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn is essential.
Requirements:
- 7+ years of experience in ML Ops or related field.
- Strong programming skills in languages like Python.
- Familiarity with containerization using Docker and Kubernetes.
- Experience with cloud platforms like AWS or GCP.
- Excellent problem-solving skills and attention to detail.
Bonus Points:
- Knowledge of Prometheus and Grafana for monitoring and logging.
- Experience with experiment tracking and workflow orchestration using Weights & Biases.
What We Offer:
- A dynamic and supportive work environment.
- Opportunities for growth and professional development.
- A competitive salary and benefits package.
