
Senior AI Engineer
1 day ago
This role entails the design, development, and deployment of AI-driven solutions leveraging the Azure ecosystem. A strong background in machine learning, generative AI, and large language models (LLMs) is essential.
Core responsibilities include:
- Creating end-to-end ML pipelines for data preparation, training, validation, and deployment.
- Applying LLMs & GenAI for NLP, predictive modeling, and analytics tasks.
- Developing recommendation engines, scoring systems, and predictive models.
- Conducting A/B tests and applying statistical methods to optimize performance.
- Integrating ML solutions into business systems through collaboration with cross-functional teams.
The ideal candidate will possess:
- 5+ years of experience in ML/Data Science with strong Python skills.
- Hands-on expertise with LLMs, GenAI frameworks, and deep learning techniques using PyTorch/TensorFlow.
- Experience working with Azure ML, Cognitive Services, and Databricks.
- Knowledge of MLOps/model management (Azure ML Service / MLflow).
- A strong background in statistical evaluation and large-scale data handling.
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AI/ML Engineering Specialist
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AI Business Growth Leader
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