
Data Scientist for Advanced Machine Learning
3 days ago
Job Summary:
We seek an accomplished data scientist to lead the development and deployment of machine learning models in real-world business applications.
Key Responsibilities:
- Collaborate with cross-functional teams to define ML use cases and deliver actionable insights.
- Analyze structured and unstructured data using statistical and ML techniques, ensuring high-quality output.
- Evaluate model performance, improve accuracy, and retrain models as needed.
- Design, develop, and manage end-to-end ML pipelines, including feature engineering, model training, deployment, and monitoring.
- Utilize cloud-based platforms like Azure ML to build, register, and deploy scalable models.
- Develop APIs using tools like FastAPI or Flask to serve models in production environments.
- Stay up-to-date with the latest advancements in ML, data science, and cloud technologies.
Requirements:
- 2–3 years of experience in Machine Learning / Data Science roles.
- Strong expertise in Azure ML Studio, Azure Machine Learning SDK, or related Azure data services.
- Proficiency in programming skills in Python, with expertise in ML libraries like scikit-learn, TensorFlow, or PyTorch.
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