Machine Learning Engineer Level 1

AI Department
Ahmedabad, Gujarat, India Full Time
No of Position: 10 Experience: 0 to 1 Year

Skills Required:

  • ● 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 visualization, 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.
  • ● 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 an online tool like google collab
  • ● Basic knowledge of Working with pre-trained models and deploying them on edge devices

Responsibilities:

  • ● 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
  • ● Exploring and visualizing data to gain an understanding of it
  • ● 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
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