The Role
Designs and deploys scalable machine learning solutions using Python, TensorFlow, Kubeflow, Docker, and Kubernetes. Develops LLM applications and RAG architectures, integrates OpenAI and other AI services into production, manages cloud-native orchestration workflows, and monitors model and infrastructure performance to ensure reliability and continuous improvement.
Summary Generated by Built In
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.
Skills Required
- 4-6 years of professional experience in software development and machine learning engineering
- Expertise with Python, TensorFlow, Docker, and Kubernetes
- Experience building Retrieval-Augmented Generation systems and working with Large Language Models
- Hands-on experience with Kubeflow for workflow management and model deployment
- Experience integrating OpenAI APIs into enterprise-grade applications
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The Company
What We Do
Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.
