Job Description

Roles and Responsibilities

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• 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 pre-processing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyper parameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

Desired Candidate Profile

Post Graduate completed students preferably cleared M-Tech in either CS/E&C/Instrumentation/ EEE etc.,

Years of Exp : 0 2 years.

• Expertise in machine vision, ML, DL, UI developments etc., along with coding expertise in python, Java, C, C++ etc
• 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

Perks and Benefits

Skills Required: C++,Telecommunication,It Software,IT Software - Application Programming,AI Developer,Instrumentation,Auto Components,Auto Ancillary