Description

You will design, develop, and deploy Python-based machine learning solutions for large-scale data analysis.

Responsibilities

• Build ETL and data pipelines to process structured and unstructured datasets.
• Perform exploratory data analysis, feature engineering, and model evaluation.
• Optimize models for scalability, performance, and accuracy.
• Collaborate with data scientists and business teams to translate requirements into technical solutions.
• Mentor junior engineers and conduct code reviews to ensure quality and best practices.

Required Skills

• 5+ years of experience in software or machine learning engineering.
• Strong proficiency in Python, specifically using Pandas, NumPy, and Scikit-learn.
• Experience building APIs with FastAPI or Flask.
• Hands-on experience with machine learning workflows, including preprocessing, training, and deployment.
• Proficiency with the Microsoft stack, specifically Azure ML, Azure Data Factory, and Synapse Analytics.
• Solid understanding of cloud-based MLOps practices.
• Strong SQL and data modeling skills.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Knowledge of containerization using Docker and Kubernetes.

Key Skills

Education

Bachelor's degree