AI/ML Engineer
Posted Updated
Summary
AI/ML Engineer in Pune on the IT Services team, architecting end-to-end ML pipelines with Python, TensorFlow, and Kubeflow, building LLM/RAG applications, containerizing services with Docker and Kubernetes, and integrating OpenAI APIs into production while monitoring model performance.
Summary
We are seeking a highly skilled AI/ML Engineer to join our IT Services team. In this pivotal role, you will leverage advanced machine learning frameworks and cloud-native technologies to design, build, and deploy scalable artificial intelligence solutions. The position demands a deep understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures to drive innovation and deliver robust technical outcomes that align with our strategic business objectives.
Responsibilities
- Architect and implement end-to-end machine learning pipelines using Python, TensorFlow, and Kubeflow.
- Develop and optimize Large Language Model applications, integrating RAG strategies to enhance data retrieval and response accuracy.
- Containerize applications and manage orchestration workflows utilizing Docker and Kubernetes to ensure high availability and scalability.
- Collaborate with cross-functional teams to integrate OpenAI capabilities and other AI services into production environments.
- Monitor model performance and infrastructure health, ensuring continuous improvement and operational efficiency.
Requirements
Requirements:
- Possess 4-6 years of professional experience in software development and machine learning engineering.
- Demonstrate proven expertise with core technologies including Python, TensorFlow, Docker, and Kubernetes.
- Show strong proficiency in building RAG systems and working with Large Language Models (LLM).
- Have hands-on experience with Kubeflow for workflow management and model deployment.
- Familiarity with OpenAI APIs and their integration into enterprise-grade applications is essential.