Enable America Jobs

Job Summary

We are seeking a highly skilled Artificial Intelligence Engineer with expertise in Azure AI and a comprehensive understanding of various AI technologies. As a key member of our team, you will be responsible for designing, developing, and implementing end-to-end AI solutions that seamlessly integrate into existing systems and drive business value. This is an exciting opportunity to join Intelligent automations & AIOps value stream within Eaton’s IT organization. based in Pune, India.

Job Description

This role reports into Manager - Intelligent Automation & AIOps and works closely with senior IT / business leaders , enterprise architects, Cyber Security. The role offers a broad variety of responsibilities including great learning opportunities. Implementation and maintenance of machine learning workflows, and the management of the lifecycle of large language models. The successful candidate will be tasked with evaluating the performance of these models, making recommendations based on their findings, and fine-tuning existing RAG and LLM models to enhance their performance. The role also involves designing and optimizing prompts to guide the behavior of language models, and providing strategies to improve the accuracy of these models. The candidate will advise on optimizing token usage for cost-effectiveness and improved performance. A key part of this role is utilizing Azure AI technologies for the development, deployment, and management of AI solutions. Experience in deploying models and applications in cloud environments, particularly Azure, is a must for this role

Key Requirements:

Proven experience and expertise in below

• Implement and maintain the infrastructure needed for end-to-end machine learning workflows including data collection, model training, and deployment in production environments.

• Manage the lifecycle of large language models including training, evaluation, deployment, and monitoring of these models.

• Evaluate the performance of various machine learning models using appropriate metrics and statistical tests. Make recommendations on which models to use based on their performance.

• Fine-tune and enhance existing Retrieval Augmented Generation (RAG) and LLM models to improve their performance and adaptability.

• Design and optimize prompts to effectively guide the behavior of language models. Understand and manage the flow of prompts in a conversation or task.

• Provide guidelines and strategies for improving the accuracy of machine learning models.

• Advise on how to optimize token usage to save costs and improve performance including strategies for efficient data preprocessing, model architecture design, and deployment.

• Leverage Azure AI technologies for developing, deploying, and managing AI solutions with Azure Machine Learning and Cognitive Services.

• Have knowledge and experience in deploying models and applications in cloud environments, particularly Azure.

Qualifications:

• Bachelor’s degree in computer science, Data Science, or a related field. Advanced degree preferred.

• Overall 10+ Years of experience with 5 to 7 years of proven experience as an AI Engineer or similar role.

Skills:

• Strong knowledge of machine learning algorithms and principles.

• Proficiency with Azure AI technologies including Azure Open AI

• Experience with MLOps, LLM Ops, model evaluation techniques, and Retrieval Augmented Generation.

• Strong programming skills, preferably in Python , experience with C# and .NET is a plus.

• Familiarity with models like LAMA , Mistral etc.

• Excellent problem-solving abilities and attention to detail.

• Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.