Senior MLOps & AI Developer

TL;DR

Senior MLOps & AI Developer: Develop, deploy, and maintain scalable AI solutions with an accent on building robust MLOps pipelines, hybrid cloud infrastructure, and full-stack AI applications. Focus on designing end-to-end AI/ML infrastructure, optimizing model accuracy, and integrating multiple large language models.

Location: Gurugram, India (onsite)

Company

hirify.global is a global company specializing in secure technology solutions.

What you will do

• Plan, build, and enhance AI/ML infrastructure ensuring scalability, availability, and security.
• Design and optimize CI/CD MLOps pipelines for automated AI model deployment.
• Engineer scalable AI solutions focusing on high model accuracy using advanced techniques and multiple LLMs.
• Manage databases and indexing systems supporting dynamic AI workflows.
• Develop full-stack AI applications with Angular front-end and backend integration.
• Collaborate with AI/ML developers, data scientists, and DevOps teams to drive innovation and optimize performance.

Requirements

• Location: Must be based in Gurugram, India for onsite work
• 8-10 years of software development experience with strong Python skills.
• Proficiency in MLOps tools like Kubernetes, Docker, Terraform, and Azure cloud management.
• Deep understanding of AI/ML workflows, including model training, deployment, and tuning.
• Experience with relational and non-SQL databases and indexing for AI data workloads.
• Front-end development skills in Angular and related web technologies.

Nice to have

• Experience managing hybrid cloud and on-premise infrastructures.
• Knowledge of GPU-based AI deployment and advanced hardware optimization.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and MLflow.