
Career Opportunity: Machine Learning Operations Engineer
24 hours ago
We are seeking a skilled ML Ops Engineer to join our team. The successful candidate will be responsible for ensuring the smooth operation of our machine learning infrastructure.
As an ML Ops Engineer, you will be working closely with our data science team to design, develop, and maintain scalable and efficient machine learning pipelines. You will also be responsible for implementing monitoring and logging tools, as well as experiment tracking and workflow orchestration systems.
The ideal candidate will have a strong background in machine learning and software engineering, with experience in programming languages such as Python and R. They should also have a good understanding of cloud-based technologies, including TensorFlow, PyTorch, and Scikit-learn.
In this role, you will have the opportunity to work on a wide range of projects, from natural language processing to computer vision. You will also have the chance to collaborate with other teams, such as data engineering and product development.
If you are a motivated and detail-oriented individual with a passion for machine learning, we encourage you to apply for this exciting opportunity.
**Required Skills and Qualifications:**
- Strong background in machine learning and software engineering
- Experience in programming languages such as Python and R
- Good understanding of cloud-based technologies, including TensorFlow, PyTorch, and Scikit-learn
- Knowledge of containerization using Docker and Kubernetes
- Experience with monitoring and logging tools, such as Prometheus and Grafana
What We Offer:
In addition to the above-mentioned skills and qualifications, we offer a competitive salary package, a comprehensive benefits program, and opportunities for professional growth and development. If you are a highly motivated and experienced ML Ops Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.
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