Machine Learning and AI Engineer

As a Machine Learning and AI Engineer at our company, you will be responsible for designing and implementing full-stack AI solutions using a variety of Machine Learning and Deep Learning algorithms. Your key responsibilities will include: - Developing and optimizing algorithms for NLP and Computer Vision applications using frameworks like TensorFlow and PyTorch. - Working with Large Language Models (LLMs) such as OpenAI, Gemini, or LLama to create intelligent applications. - Leveraging Azure platforms (App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning) to enhance application deployment and scalability. - Applying algorithms rigorously to solve complex problems in AI, ensuring performance and accuracy in models. - Building Python-based applications with frameworks like FastAPI and Django that seamlessly integrate with AI solutions. - Collaborating with interdisciplinary teams to gather requirements and translate them into technical specifications. - Utilizing containerization (Docker) and orchestration (Kubernetes) technologies to optimize deployment workflows and enhance operational efficiency. - Staying updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning. Qualifications: - 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. - Strong expertise in frameworks such as TensorFlow and PyTorch for model development. - Demonstrated experience with NLP and Computer Vision applications. - Proficient in working with Large Language Models (OpenAI, Gemini, LLama). - Extensive experience with Azure platforms, specifically App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. - Strong knowledge of Python frameworks such as FastAPI and Django. - Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is highly desirable. - Excellent problem-solving abilities and capacity to work in a dynamic environment.,