AI/ML Engineer

Job Title: AI/ML Engineer

Company: INDOAI Technologies Pvt. Ltd.
Location: Pune, India
Experience: 6+ Years About the Role:
About INDOAI Technologies:
At INDOAI Technologies, we are revolutionizing real-time AI with cutting-edge Edge AI Smart Cameras and solutions. We specialize in enabling businesses with innovative AI/ML-powered systems for applications like attendance tracking, visitor management, authentication, and more. Join our team to shape the future of AI-driven technology!

Key Responsibilities:

• Design, develop, and implement scalable AI/ML models for real-world applications.
• Work with frameworks such as TensorFlow, PyTorch, and Scikit-learn to build and deploy solutions.
• Develop, optimize, and integrate AI models for Edge AI cameras and similar hardware.
• Collaborate with hardware teams to ensure AI models are lightweight and compatible with edge devices.
• Analyse and preprocess large datasets to extract meaningful insights and ensure model accuracy.
• Design and implement custom solutions for use cases like facial recognition, object detection, and anomaly detection.
• Monitor and improve deployed models to ensure reliability, performance, and accuracy over time.
• Collaborate with cross-functional teams including UI/UX designers, software developers, and product managers.
• Stay up-to-date with advancements in AI/ML technologies and bring innovative ideas to the table.
  
  

Required Skills:

• Strong expertise in Machine Learning and Artificial Intelligence with at least 6+ years of hands-on experience.
• Solid understanding of Deep Learning, Computer Vision, and Natural Language Processing (NLP) concepts.
• Experience in deploying AI models on Edge devices or hardware systems.
• Proficiency in Python and AI/ML frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
• Familiarity with tools such as OpenCV, YOLO, or ONNX for vision-related projects.
• Experience in working with Edge AI platforms (e.g., Nvidia Jetson, Intel Movidas, etc.) is a plus.
• Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud for AI model deployment.
• Strong mathematical and statistical skills, including knowledge of linear algebra, probability, and optimization.
• Familiarity with DevOps practices and tools for AI workflows is a bonus.
  
  

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields.
• Proven track record of delivering successful AI/ML projects in production environments.
• Strong analytical, problem-solving, and debugging skills.