Job Description:
Core (Primary) Skills
- 510 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 problemsolving abilities.