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
- Strong knowledge of Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
- Model evaluation, hyperparameter tuning, and pipeline automation
- REST APIs for model serving and integration
- Familiarity with MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
- Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
- NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)