Machine Learning Engineer

. Have Master's degree in the field of AI / ML and data science with proven ability to design and develop models

. 6+ years of experience in data science and machine learning, with at least 3+ years in ML engineering roles.

. Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.

. Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, etc.).

. Strong knowledge in NoSQL databases (any experience in Graph database is desirable)

. Experience with MLOps tools: MLflow, TFX, Airflow, Kubeflow, or similar.

. Familiarity with cloud platforms (GCP, AWS, or Azure) for ML deployment.

. Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.

. Experience with CI/CD pipelines and containerization (Docker, Kubernetes).

. Strong understanding of AI governance, model risk management, and regulatory requirements in AI.

. Ability to communicate technical concepts to non-technical stakeholders.