Key Responsibilities: Collaborate with clients to gather requirements, present project outcomes, and plan future sprints. Design and develop AI and machine learning solutions using Python. Apply advanced AI and machine learning techniques to solve complex problems and deliver innovative solutions. Build backend systems and integrate AI models into applications. Utilize tools such as Docker for containerization and deployment. Work with cloud and hardware providers (e.g., AWS, Azure, GCP, Lenovo, Dell, HPE) to deploy and manage AI solutions. Develop APIs using frameworks such as FastAPI, Flask, or Django REST Framework (DRF). Ensure that projects are scalable and can be transitioned from POC/MVP to production. Stay up-to-date with the latest advancements in AI, machine learning, and related technologies. Qualifications: Proficiency in Python programming. Strong experience in backend development. Deep understanding and hands-on experience with AI and machine learning techniques and frameworks. Familiarity with containerization tools such as Docker. Proficiency in one or more cloud providers and hardware vendors (AWS, Azure, GCP, Lenovo, Dell, HPE ). Experience with API development using FastAPI, Flask, or Django REST Framework (DRF). Excellent communication and presentation skills. Ability to work collaboratively with clients and internal teams. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience in deploying AI/ML models in production environments. Knowledge of data engineering and data pipeline development. Familiarity with DevOps practices and CI/CD pipelines.