
Machine Learning Engineer
2 days ago
Key Responsibilities
● Design, develop, and deploy machine learning models for real-world business and
product applications
● Collaborate with data scientists, data engineers, and product teams to define ML
use cases and deliver actionable insights
● Clean, preprocess, and analyze structured and unstructured data using statistical
and ML techniques
● Monitor and evaluate model performance, improve accuracy, and retrain models as
needed
● Build and manage end-to-end ML pipelines, including feature engineering,
model training, deployment, and monitoring
● Work with Azure ML tools to build, register, and deploy models within a scalable
cloud environment
● Create and maintain APIs using tools like FastAPI or Flask to serve models in
production
● Stay updated with the latest developments in ML, data science, and cloud
technologies
Required Skills & Qualifications
● 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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