Machine Learning Engineer
About The Position
Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes. This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.
Requirements
- Supervised or unsupervised learning algorithms
- Neural networks, NLP
- Python / R / SQL
- Tensor Flow / Keras / PyTorch
- Cloud platforms and technologies (MS Azure)
- DevOps / MLOps
Responsibilities
- Develop, deploy, and optimize machine learning models for various applications.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
