AI/ML Engineer

As an AI Developer, your role will involve developing and maintaining robust Python scripts to interact with Azure OpenAI APIs. You will be responsible for evaluating, selecting, and fine-tuning Azure OpenAI models based on project needs. Additionally, you will design and implement AI solutions for multiple NLP tasks such as text generation, summarization, and sentiment analysis. Your key responsibilities will include: - Building and optimizing RAG (Retrieval Augmented Generation) architectures to enhance contextual accuracy. - Developing Agentic AI solutions, including autonomous workflows, tool integrations, and multi-step reasoning agents. - Deploying, monitoring, and optimizing AI models in production. You will also need to stay updated with advancements in AI, LLMs, RAG, and agent-centric architectures. - Utilizing industry-standard frameworks and tools to improve efficiency and ensuring scalability and performance of AI applications. To excel in this role, you should have: - Strong proficiency in Python programming and experience with AI/ML frameworks such as PyTorch, TensorFlow, and Transformers. - Hands-on experience with Azure OpenAI models and APIs. - Experience in building Agentic AI systems or autonomous task agents. - A good understanding of MLOps, version control, and CI/CD pipelines. - Familiarity with prompt engineering, data preprocessing, and model optimization. If there are any additional details about the company in the job description, they will be provided here. As an AI Developer, your role will involve developing and maintaining robust Python scripts to interact with Azure OpenAI APIs. You will be responsible for evaluating, selecting, and fine-tuning Azure OpenAI models based on project needs. Additionally, you will design and implement AI solutions for multiple NLP tasks such as text generation, summarization, and sentiment analysis. Your key responsibilities will include: - Building and optimizing RAG (Retrieval Augmented Generation) architectures to enhance contextual accuracy. - Developing Agentic AI solutions, including autonomous workflows, tool integrations, and multi-step reasoning agents. - Deploying, monitoring, and optimizing AI models in production. You will also need to stay updated with advancements in AI, LLMs, RAG, and agent-centric architectures. - Utilizing industry-standard frameworks and tools to improve efficiency and ensuring scalability and performance of AI applications. To excel in this role, you should have: - Strong proficiency in Python programming and experience with AI/ML frameworks such as PyTorch, TensorFlow, and Transformers. - Hands-on experience with Azure OpenAI models and APIs. - Experience in building Agentic AI systems or autonomous task agents. - A good understanding of MLOps, version control, and CI/CD pipelines. - Familiarity with prompt engineering, data preprocessing, and model optimization. If there are any additional details about the company in the job description, they will be provided here.