
Data Systems Engineer
3 days ago
We are seeking an experienced professional to design, build, and deploy AI-driven solutions using the Azure ecosystem.
Key Responsibilities
- Develop end-to-end machine learning pipelines (data preparation, training, validation, deployment).
- Apply large language models and generative AI for natural language processing, predictive modeling, and analytics.
- Create recommendation engines, scoring systems, and predictive models.
- Conduct A/B tests and apply statistical methods to optimize performance.
- Integrate machine learning solutions into business systems in collaboration with cross-functional teams.
Required Skills and Qualifications
- 5+ years of experience in machine learning/data science with strong Python skills.
- Hands-on experience with large language models, generative AI frameworks, and deep learning (PyTorch/TensorFlow).
- Experience with Azure Machine Learning, Cognitive Services, and Databricks.
- Knowledge of MLOps/model management (Azure Machine Learning Service / MLflow).
- Strong background in statistical evaluation and large-scale data handling.
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