- Develop and implement AI ML models including supervised unsupervised and deep learning algorithms
- Build and optimize end to end machine learning pipelines including data preprocessing feature engineering model training validation and deployment
- Work with NLP Computer Vision LLMs and other AI domains as required
- Develop high quality scalable code using Python and relevant AI ML frameworks
- Collaborate with cross functional teams Data Engineering Product Architecture to design AI driven solutions
- Conduct research evaluate new technologies and recommend improvements to existing models and processes
- Monitor model performance and implement enhancements to ensure accuracy and reliability
- Prepare technical documentation reports and model explainability outputs
- 5 8 years of hands on experience in Artificial Intelligence and Machine Learning
- Strong proficiency in Python and libraries such as NumPy Pandas Scikit learn TensorFlow PyTorch Keras
- Experience with AI domains such as NLP Computer Vision Generative AI LLMs or Recommendation Systems
- Solid understanding of ML concepts data structures algorithms and statistical methods
- Experience deploying models using Docker REST APIs cloud platforms AWS Azure GCP
- Familiarity with MLOps tools MLflow Kubeflow Airflow is a plus
- Strong problem solving abilities and the ability to work in a fast paced dynamic environment
Technology->Artificial Intelligence->Artificial Intelligence - ALL
