
Data Engineering Specialist
2 days ago
Job Title:
Data Engineering SpecialistWe are seeking a skilled data engineering specialist to design, develop, and deploy machine learning models that drive business value and improve customer experiences.
Key Responsibilities:
- Design and Develop ML Models: Create and deploy machine learning models for real-world business applications using Azure tools.
- Collaborate with Cross-Functional Teams: Work with data scientists, engineers, and product teams to define use cases, deliver insights, and ensure model performance.
- Data Analysis and Preprocessing: Clean, preprocess, and analyze structured and unstructured data using statistical and ML techniques.
- Model Monitoring and Evaluation: Monitor and evaluate model performance, improve accuracy, and retrain models as needed.
- End-to-End Pipeline Management: Build and manage end-to-end ML pipelines, including feature engineering, model training, deployment, and monitoring.
Requirements:
- Experience in ML/Data Science Roles: 2–3 years of experience in Machine Learning or Data Science roles.
- Azure Experience: Experience with Azure ML Studio, Azure Machine Learning SDK, or related Azure data services.
- Programming Skills: Strong programming skills in Python, with proficiency in ML libraries like scikit-learn, TensorFlow, or PyTorch.
Benefits:
- Stay updated with the latest developments in ML, data science, and cloud technologies.
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