
Machine Learning Developer
4 days ago
Job Overview:
- The ideal candidate will be responsible for developing and deploying machine learning models that drive real-world business applications.
- This role requires collaboration with cross-functional teams to define ML use cases and deliver actionable insights.
- Candidates will work with structured and unstructured data, applying statistical and ML techniques to extract valuable information.
- Model performance monitoring, improvement, and retraining are critical aspects of this role.
- The successful candidate will design and manage end-to-end ML pipelines, including feature engineering, model training, deployment, and monitoring.
- They will utilize Azure ML tools to build, register, and deploy models within a scalable cloud environment.
- Additionally, candidates will create and maintain APIs using tools like FastAPI or Flask to serve models in production.
- Staying up-to-date with the latest developments in ML, data science, and cloud technologies is essential.
Required Skills & Qualifications:
- A minimum of 2–3 years of experience in Machine Learning / Data Science roles.
- Experience with Azure ML Studio, Azure Machine Learning SDK, or related Azure data services.
- Strong programming skills in Python, with proficiency in ML libraries like scikit-learn, TensorFlow, or PyTorch.
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