Teksun Recruitment Drive 2021


Teksun off Campus Drive 2021

Teksun is Hiring for the position of AI / ML Engineer .

Job TitleTeksun AI / ML Engineer
Description●Basic Knowledge of python coding ●Basic Knowledge of C/C++ coding standard
Work LocationGujarat – India
Employment TypeFULL TIME


  • ●Basic Knowledge of python coding
  • ●Basic Knowledge of C/C++ coding standard
  • ● Should have knowledge of basic libraries for machine learning such as scikit-learn and pandas, numpy
    • Should have knowledge of basic data-visualisation, data-preprocessing, data-cleaning
    • Basic knowledge of Computer vision required
    • Familiarity with Linux
    • Should have knowledge of basics of Deep learning
    • Should have knowledge of how to build basic Convolutional neural net
    • Should have basic knowledge of NLP
    • Ability to think out of the box and passion in learning computer vision and machine learning is expected. Must be a team player
  • ● Good debugging skills
    • Basic knowledge of PCA and T-SNE
    • Handling online code assistance, code mentoring, and education-based solutions
  • ● Basic of OpenCV
    • Should have knowledge of how to run code on online tool like google colab
    • Basic knowledge of Working with pretrained models and deploying them on edge devices

Job Description

  • ● To study and convert data science prototypes.
  • ●Understanding the problem statement
  • Managing available resources such as hardware, data, and personnel so that deadlines are met
  • Exploring and visualizing data to gain an understanding of it
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • To perform statistical analysis and fine-tune models using test results.
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset●Defining data augmentation to increase the existing data set
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Implementing and validating solution/s
  • Solving object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques Using innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning

Apply Now

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