The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives.
Requirements
- 3–5 years of hands-on experience in machine learning model development and deployment.
- Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
- Strong knowledge of Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch).
- Familiarity with MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes).
- Ability to work independently and within cross-functional teams.