Lead AI/ML Engineer (Immediate Joiner)

Vowels of the People Association; Maharashtra; On-site; INR 1,200,000 - 1,400,000; Full time

Job summary

Vowels of the People Association is seeking a Lead AI/ML Engineer to steer the design, development, deployment, and continuous improvement of AI-powered education solutions. You will own the complete lifecycle from data pipelines to model deployment, ensuring reliability, security, and scalability.

You will mentor engineers, define best practices, and collaborate with cross-functional teams to deliver production-grade AI services and innovative capabilities for education at scale.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum 4 years of hands-on experience developing, deploying, and maintaining production-grade AI/ML systems.
• Strong proficiency in Python with excellent software engineering, object-oriented programming, and system design skills.
• Extensive experience with modern machine learning frameworks such as PyTorch, Hugging Face, TensorFlow, or equivalent.
• Proven expertise in deploying, optimizing, and scaling large language models (LLMs) and other AI models for production inference.
• Strong understanding of containerization and cloud-native technologies, including Docker, Kubernetes, AWS, and distributed system architectures.
• Demonstrated ability to lead technical initiatives, mentor engineering teams, and make sound architectural decisions.
• Excellent analytical, debugging, communication, and problem-solving skills.

Responsibilities

• Lead the design, development, and deployment of AI-powered products for production environments.
• Drive technical architecture and decision-making across machine learning models, inference systems, cloud infrastructure, and distributed computing.
• Develop and maintain end-to-end machine learning pipelines, including data ingestion, model training, evaluation, deployment, monitoring, and continuous optimization.
• Design scalable, secure, and high-performance AI services capable of handling production-scale workloads.
• Provide technical leadership by mentoring engineers, conducting code and design reviews, and fostering engineering excellence.
• Establish and promote best practices for software quality, testing, performance optimization, observability, reliability, and maintainability.
• Collaborate closely with Product, Backend, Mobile, and Data teams to deliver robust, scalable AI solutions.
• Research, evaluate, and implement emerging AI technologies to enhance product capabilities and drive innovation.

Skills

Python

PyTorch

TensorFlow

ML System Design

Education

CS/AI/ML degree

Tools

Docker

Kubernetes

AWS

Hugging Face

Job description

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

Job Description

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

About the Role

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

You will take ownership of the complete AI development lifecycle—from problem definition and data pipeline design to model training, deployment, monitoring, and optimization—while ensuring high standards of reliability, scalability, security, and performance. The role also involves evaluating emerging AI technologies and driving their adoption to enhance product capabilities and user experience.

Roles And Responsibilities

• Lead the design, development, and deployment of AI-powered products for production environments.
• Drive technical architecture and decision-making across machine learning models, inference systems, cloud infrastructure, and distributed computing.
• Develop and maintain end-to-end machine learning pipelines, including data ingestion, model training, evaluation, deployment, monitoring, and continuous optimization.
• Design scalable, secure, and high-performance AI services capable of handling production-scale workloads.
• Provide technical leadership by mentoring engineers, conducting code and design reviews, and fostering engineering excellence.
• Establish and promote best practices for software quality, testing, performance optimization, observability, reliability, and maintainability.
• Collaborate closely with Product, Backend, Mobile, and Data teams to deliver robust, scalable, and business-focused AI solutions.
• Research, evaluate, and implement emerging AI technologies to enhance product capabilities and drive innovation.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum 4 years of hands-on experience developing, deploying, and maintaining production-grade AI/ML systems.
• Strong proficiency in Python with excellent software engineering, object-oriented programming, and system design skills.
• Extensive experience with modern machine learning frameworks such as PyTorch, Hugging Face, TensorFlow, or equivalent.
• Proven expertise in deploying, optimizing, and scaling large language models (LLMs) and other AI models for production inference.
• Strong understanding of containerization and cloud-native technologies, including Docker, Kubernetes, AWS, and distributed system architectures.
• Demonstrated ability to lead technical initiatives, mentor engineering teams, and make sound architectural decisions.
• Excellent analytical, debugging, communication, and problem-solving skills.

Preferred Qualifications

• Hands-on experience with Large Language Models (LLMs), Computer Vision, Speech Recognition, Generative AI, or Multimodal AI systems.
• Experience with model optimization and inference technologies such as Quantization, Distributed Training, vLLM, TensorRT, ONNX Runtime, or similar frameworks.
• Prior experience developing AI solutions for the education, public sector, or other large-scale social impact initiatives.

Details

• Location: Kothrud, Pune.
• Salary :- 12 LPA to 14 LPA (Depending on last drawn salary, Interview and Skills)

Salary Range 12.00 - 14.00 LPA