AI Engineer

As a Machine Learning Engineer and AI Developer with a minimum of 5 years of experience, you will be responsible for the following: - Deep expertise in various machine learning algorithms and techniques such as supervised/unsupervised learning, deep learning, and reinforcement learning. - Solid experience in Natural Language Processing (NLP) including language models, text generation, and sentiment analysis. - Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, and transformers. - Expertise in Agentic AI and the ability to build real-world applications using frameworks like Langgraph, ADK, Autogen, etc. - Hands-on experience in developing and deploying generative AI applications such as text generation, conversational AI, and image synthesis. - Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. - Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. - Experience in MLOps and ML model deployment pipelines, including data processing, feature engineering, and model training on large datasets. - Familiarity with responsible AI practices, AI ethics, model governance, and risk mitigation. - Understanding of software engineering best practices and their application to ML systems. - Exposure to an agile development environment and tools/frameworks used to monitor and analyze ML model performance and data accuracy. You will be part of a dynamic team that values innovation and continuous learning in the field of machine learning and artificial intelligence.,