Requirements
- 3+ years of hands-on experience as an ML/AI engineer working on production systems, ideally in real-time or high-throughput environments.
- Strong foundation in software engineering practices: version control, CI/CD, containerization, code testing, performance tuning.
- Proficient in Python and SQL, with solid exposure to C++ or other systems-level languages.
- Deep knowledge of ML models and deployment strategies – especially classification, anomaly detection, and behavioral modeling.
- Experience working with LLMs or generative AI frameworks, including fine-tuning and serving.
- Proven ability to translate ML research into scalable, reliable software systems.
- Degree in Computer Science, Engineering, Mathematics, or a related technical field.
- Experience working cross-functionally with data, product, and infrastructure teams.
Nice to Have
- MSc or PhD preferred
