Job Description
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, Tensor Flow, 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.

RequirementsRequirements:

- Possess 4-6 years of skilled experience in software development and machine learning engineering.

- Demonstrate proven expertise with core technologies including Python, Tensor Flow, 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.

Requirements
Pandas, Num Py, Spark, SQL, CNN, RNN, Transformers, GANs, Diffusion Models, Vector Databases, CI/CD, Git, Azure Dev Ops/Git Hub Actions, REST APIs & Microservices. Python, Tensor Flow, PyTorch, scikit-learn, Hugging Face Transformers, Lang Chain, Azure ML, Azure OpenAI, AWS Sage Maker, GCP Vertex AI, MLflow, Kubeflow, MLOps, Generative AI, LLM, RAG, Docker, Kubernetes.

📌 AI/ML Engineer (India)
🏢 Vrinda International
📍 India