AI/ML Engineer

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 3 years of professional experience in developing and deploying AI/ML solutions. Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers. Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services. Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts. Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Proven experience working with the Azure cloud platform and its AI/ML and container services. Familiarity with data engineering concepts and tools for data processing and preparation. Experience with CI/CD pipelines and DevOps practices. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications Experience with MLOps practices and tools for managing the ML lifecycle. Familiarity with other cloud platforms (e.g., AWS, GCP). Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis). Contributions to open-source AI/ML projects. Relevant certifications in AI/ML or cloud technologies. Skills:- Python, Large Language Models (LLM), TensorFlow, Docker, CI/CD and Natural Language Processing (NLP) Show more Show less