Honeywell | is Hiring | Advanced AI Engineer | BigDataKB.com | 06-04-22

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Job Location: Bangalore

Responsibilities:
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

Good understanding of OCR technology (both conventional and ML based) and good knowledge of standard OSS OCR libraries (Tesseract, Paddle OCR, EasyOCR)

Managing available resources such as hardware, data, and personnel so that deadlines are met

Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Verifying data quality, and/or ensuring it via data cleaning

Supervising the data acquisition process if more data is needed

Finding available datasets online that could be used for training

Defining validation strategies

Defining the preprocessing or feature engineering to be done on a given dataset

Defining data augmentation pipelines

Training models and tuning their hyperparameters

Analyzing the errors of the model and designing strategies to overcome them

Deploying models to production

Key Skills:
Expertise in Machine learning and AI.

Very strong in Statistics and Mathematics.

Very Strong in Python, data structure and algorithms.

Should be proficient in Developing C++ code for Image processing Application.

Should have experience in image processing related to OCR and barcode scanning.

Proficiency with a deep learning framework such as TensorFlow or Keras

Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas

Expertise in visualizing and manipulating big datasets

Proficiency with OpenCV

Familiarity with Linux

Ability to select hardware to run an ML model with the required latency

Very good communication skills, Presentation skills and team player

Mandatory to have At-least 1 Full ML based Image processing product life cycle experience.

Additional Skills:
ML on Azure Cloud

Cloud Architecture and design

Docker and Cloud deployment automation

Experience with CMAKE modification and Cross compiling C++ code to Android, Linux, Windows.

5-10 years of experience

5.00-10.00 Years

Apply Here

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