Data Scientist – Machine Learning

Job Description:

Core (Primary) Skills

• 5–10 years of experience as a Machine Learning Engineer or in a similar role.
• Strong understanding of data structures, data modeling, and software architecture.
• Deep knowledge of math, probability, statistics, and algorithms.
• Proficiency in Python and R, with the ability to write clean, scalable, and production-ready code.
• Hands-on experience with ML frameworks such as:

Keras , PyTorch , TensorFlow (if applicable)

• Strong command of ML libraries such as scikit-learn, NumPy, Pandas, etc.
• Experience with Azure Machine Learning, CI/CD for ML, and MLOps practices.

Secondary Skills

• Ability to troubleshoot ML workflows, pipelines, and deployments.
• Strong communication skills to articulate technical concepts to non-technical stakeholders.
• Ability to work collaboratively in team environments.
• Outstanding analytical and problem‑solving abilities.

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