
Unlock the Power of AI
4 days ago
Highly skilled and experienced Machine Learning Engineer with +5/+7 years of experience in developing and deploying Large Language Models (LLMs) & Prompt Engineering, Azure Document Intelligence, Model Development & Evaluation, MLOps, Azure Machine Learning, Azure Functions & Serverless AI, Programming Languages, Database & Data Lakes, DevOps & Git Integration.
Key Responsibilities:- Bachelor or Master degree;
- +5/+7 years of experience in Machine Learning engineering;
- Hands-on experience with transformer-based models (e.g., GPT, BERT) and crafting effective prompts for tasks like summarization, text classification, and document understanding;
- Strong foundation in ML algorithms, model evaluation metrics, and hyperparameter tuning using tools like Scikit-learn, XGBoost, or PyTorch;
- Proficient in building and managing ML pipelines using Azure ML, MLflow, and CI/CD tools for model training, deployment, and monitoring;
- Experience with Azure ML Studio, automated ML, model registry, and deployment to endpoints or containers;
- Building event-driven AI workflows using Azure Functions for real-time inference, data processing, and integration with other Azure services;
- Expert coding skills in Python, with knowledge of libraries like NumPy, Pandas, Scikit-learn, and Matplotlib;
- Experience with SQL and NoSQL databases, and integration with data lakes for AI pipelines;
- Experience with Azure DevOps for version control, testing, and continuous integration of AI workflows;
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