AI/ ML engineer

1 month ago

New Delhi, India Wyr.Ai Private Limited Full time

Company Description

Wyr.AI Private Limited is a trailblazing XR and AI product company based in New Delhi. We specialize in revolutionizing industries through cutting-edge technology, with a focus on Extended Reality (XR) and Artificial Intelligence (AI). Our solutions include visual quality inspection, warehouse management, virtual showrooms, and more. We strive to bridge the gap between imagination and practicality by creating transformative solutions that optimize industries and simplify complex tasks.


Role Description

This is a full-time on-site role for an AI/ML Engineer at Wyr.AI. As an AI/ML Engineer, you will be responsible for developing and implementing pattern recognition algorithms, neural networks, and statistical models. You will also work on designing and optimizing algorithms for machine learning applications. Additionally, you will collaborate with cross-functional teams to drive AI/ML initiatives and contribute to the development of XR and AI solutions.


Qualifications

  • Strong background in Computer Science and Machine Learning
  • Experience in developing and implementing pattern recognition algorithms
  • Familiarity with neural networks and statistical models
  • knowledge of PyTorch or Tensorflow
  • Knowledge of algorithms and data structures
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Key Responsibilities

Familiarity with model deployment tools and frameworks such as TorchServe, ONNX, or Docker.

    Knowledge of cloud platforms such as AWS and/or GCP for deploying machine learning models.

    Experience with version control systems like Git.

  •     Familiarity with software development practices, including agile methodologies and continuous integration/continuous deployment (CI/CD).Proficiency in programming languages such as Python or Java


 . Model Development: Design, develop, and train computer vision models using PyTorch or TensorFlow for tasks such as object detection, image segmentation, image classification, and more.

  Model Deployment: Deploy models into production environments on AWS Cloud, ensuring scalability, reliability, and performance.

  Data Preparation: Collect, preprocess, and augment datasets for training and evaluation of computer vision models.

  Performance Optimization: Optimize model performance and efficiency through hyperparameter tuning, model pruning, and quantization techniques.

  Collaboration: Work closely with cross-functional teams including full-stack software engineers, and product managers to understand requirements and deliver solutions.

  Testing and Validation: Implement rigorous testing and validation procedures to ensure the accuracy and robustness of the models.


Experience : 2 years min

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