Lead AI Engineer

Caratlane; Chennai; Presencial; INR 4.500.000 - 6.500.000; Jornada completa

Descripción de la vacante

CaratLane in Chennai, India seeks an experienced AI/ML Tech Lead to architect, guide, and deliver scalable AI solutions. You will lead model deployment, mentor a team of engineers, and own infra decisions for AI services across CV, LLMs, and agentic AI.

The role requires hands-on experience with Docker, FastAPI/Flask, CI/CD, and cloud infra (AWS/GCP/Azure). Strong Python, PyTorch, TensorFlow, and MLOps skills are essential.

Formación

• Seven-plus years in AI/ML with leadership experience.
• Hands-on deploying production ML models with Docker, API services, and CI/CD.
• Strong knowledge of MLOps, version control, and cloud infra.

Responsabilidades

• Lead development and deployment of AI/ML models and API services across CV, LLMs, and Agentic AI.
• Mentor a team of 4+ AI/ML engineers, ensuring high-quality output and growth.
• Own AI infra and DevOps decisions for model serving, optimization, and monitoring.
• Collaborate with DevOps, Data Eng, and Product teams for seamless delivery.
• Evaluate and adopt emerging AI frameworks to boost velocity and performance.

Conocimientos

AI/ML leadership

Team mentoring

Python

PyTorch

TensorFlow

OpenCV

HuggingFace/Transformers

Docker

FastAPI/Flask

CI/CD

AWS/GCP/Azure

Git

Herramientas

Docker

FastAPI/Flask

CI/CD pipelines

Git

GPU training

AWS/GCP/Azure

Descripción del empleo

We are seeking an experienced and hands-on AI/ML Tech Lead to join our AI/ML team. This role demands a strong technical leader who can architect, guide, and deliver scalable AI solutions while actively contributing to code and model development. The ideal candidate will have deep expertise in machine learning, computer vision, LLMs, and deployment practices, along with prior experience in leading and mentoring a team of engineers.

Key Responsibilities:

• Lead the development and deployment of AI/ML models and API-based services across domains like Computer Vision, LLMs, and Agentic AI.
• Guide and mentor a team of at least 4 AI/ML engineers, ensuring high-quality technical output and team growth.
• Own infrastructure and DevOps decisions related to AI model serving, optimization, and monitoring.
• Collaborate with DevOps, Data Engineering, and Product teams for seamless integration and delivery.
• Evaluate and adopt emerging AI frameworks and tools to improve development velocity and model performance.

Required Skills:

• 7+ years of experience in AI/ML, with at least 2 years in a technical leadership role guiding a team.
• Proven hands-on experience in deploying production-grade ML models using Docker, FastAPI/Flask, and CI/CD pipelines.
• Deep understanding of version control (Git), containerization, and MLOps practices.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, and HuggingFace/Transformers.
• Exposure to agentic AI workflows, prompt engineering, and GPU-based training/inference.
• Experience working with cloud infrastructure (AWS/GCP/Azure) and managing compute/GPU resources.