Lead AI/ML Engineer (Immediate Joiner)

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
4-6 years
Pune, Maharashtra
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 31 Oct 2026

Posted: 1 month ago
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Job Description

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

  • Bachelors or Masters 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.
  • Interested candidates should fill in the application on career website https://careers.vopa.in/
  • Salary :- 12 LPA to 14 LPA (Depending on last drawn salary, Interview and Skills)

Salary Range

12.00 - 14.00 LPA

Skills

Artificial IntelligencePythonCloud InfrastructureMachine LearningAi/mlLarge Language ModelsAi/ml EngineerMl EngineerAiMlLlmsGenerative AiHugging FaceMultimodalPytorchTensorflowComputer VisionModel TrainingSpeech Recognition

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