Role Responsibilities :
- Design and deploy ML solutions in enterprise and cloud-native environments
- Develop AI / ML models using tools like TensorFlow, SageMaker, and MLOps pipelines
- Implement NLP, LLMs, and deep learning techniques for real-world applications
- Create dockerized AI models with scalable deployment architecture
Job Requirements :
Strong programming in Python, Java, R, or ScalaHands-on experience in ML frameworks, visualization, and cloud AI toolsProven expertise in Docker, AWS AI services, and model lifecycle managementStrong statistical modeling, architectural thinking, and problem-solving skillsSkills Required
Python, Machine Learning, Aws, Nlp, Deep Learning