Cloud Machine Learning Engineer
3 days ago
Machine Learning Engineer with Cloud Expertise
This is a role for those who have a passion for machine learning and cloud computing. As a machine learning engineer with expertise in cloud, you will be responsible for developing and deploying AI models on cloud platforms.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
- 3-5 years of hands-on experience in AI/ML engineering and Python, with a focus on building production-ready models.
- Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques.
- Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform.
- Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
- Experience with MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, containerization using Docker and Kubernetes, OpenShift.
Responsibilities:
- Prepare, clean, and process large datasets; build and maintain data pipelines.
- Develop and implement machine learning models for various applications.
- Engineer features and optimize model performance through hyperparameter tuning and validation.
- Automate model building, training, and deployment by building CI/CD/CT pipelines.
- Stay updated on new tools and techniques in machine learning and AI.
Benefits
As a machine learning engineer with cloud expertise, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and develop your skills in a fast-paced environment.
Key Skills
The ideal candidate will have a strong background in machine learning, cloud computing, and software development, as well as excellent communication and problem-solving skills.
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