Machine Learning/Artificial Intelligence Engineer

You are a skilled Mid-Level AI Engineer with over 4 years of experience, seeking to join a dynamic team in Bangalore. You have a strong foundation in Machine Learning and Deep Learning algorithms, with proficiency in frameworks like TensorFlow and PyTorch. Your expertise includes working with Large Language Models (LLMs) such as OpenAI, Gemini, and DeepSeek, along with other reasoning models. Knowledge of Knowledge Graphs is a plus. Additionally, you are well-versed in Python frameworks like FastAPI and Django, and have extensive experience on Azure platforms including App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is highly desirable. Your responsibilities will include designing and implementing full-stack AI solutions using various Machine Learning and Deep Learning algorithms, optimizing algorithms for NLP and Computer Vision applications, working with LLMs to create intelligent applications, leveraging Azure platforms for application deployment and scalability, applying algorithms rigorously to solve complex AI problems, building Python-based applications that integrate seamlessly with AI solutions, collaborating with interdisciplinary teams to gather requirements and translate them into technical specifications, and utilizing containerization and orchestration technologies to optimize deployment workflows. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field, proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms, expertise in frameworks like TensorFlow and PyTorch, experience with NLP and Computer Vision applications, proficiency in working with Large Language Models, extensive experience with Azure platforms, knowledge of Python frameworks, familiarity with containerization technologies and orchestration tools, and excellent problem-solving abilities with the capacity to work in a dynamic environment. Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning to ensure continuous improvement and innovation.,