Senior Cloud Machine Learning Engineer
2 days ago
This role requires a strong foundation in mathematical and statistical principles, with hands-on experience working on machine learning projects. The ideal candidate will have expertise in AI-specific utilities like Hugging Face Transformers and the ability to understand business requirements.
Key Responsibilities:- Develop and deploy cloud-based applications, including large language models, into production environments.
- Create machine learning models and deploy them for use in production settings.
- Apply feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning using structured and unstructured datasets.
The successful candidate will possess excellent communication, documentation skills, as well as programming proficiency in Python, Scikit-Learn, TensorFlow, PyTorch, Keras, and SAS. Experience with MLOps, data pipeline management, data engineering, statistics knowledge (probability distributions, hypothesis testing), time series modeling, forecasting, image/video analytics, and natural language processing is highly desirable.
Requirements:- 4-11 years of experience in data science and machine learning.
- Strong understanding of business needs and ability to derive relevant use cases from structured/unstructured data.
- Experience with cloud services such as AWS, GCP, Azure, and Databricks.
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