
Machine Learning Engineer
6 days ago
About the Role:
A seasoned professional with 7+ years of experience in ML Ops Engineering seeks a challenging position where they can leverage their expertise in machine learning frameworks, orchestration tools, and monitoring systems to drive business growth.
Key Responsibilities:
- Develop and maintain scalable machine learning workflows using MLflow, Kubeflow, and Weights & Biases.
- Design and implement monitoring and logging systems utilizing Prometheus and Grafana for real-time data analysis.
- Collaborate with cross-functional teams to identify areas for process improvements and implement efficient solutions.
- Stay up-to-date with industry trends and emerging technologies to ensure the organization remains competitive.
Required Skills:
- Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Proficiency in orchestration tools (MLflow, Kubeflow, Weights & Biases).
- Experience with monitoring and logging systems (Prometheus, Grafana).
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Benefits:
This role offers opportunities for growth and development in a dynamic and innovative company. The successful candidate will have the chance to work with cutting-edge technologies and collaborate with experienced professionals in the field.
About Us:
We are a leading organization in the tech industry, dedicated to delivering high-quality solutions that meet our clients' needs. Our team is passionate about innovation and excellence, and we strive to create a work environment that is supportive and inclusive.
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