Roles and Responsibilities:
Advanced degree in computer science, math, statistics, or a related discipline is preferable but knowledge of the domain is more important than a piece of paper.
Should have good knowledge of math and statistics.
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
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 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.
Required Skill Set:
Proficiency with a deep learning framework such as TensorFlow or Keras or PyTorch.
Proficiency with Python and basic libraries for machine learning such as sci-kit-learn, pandas, and NumPy.
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
Job Types: Full-time, Fresher
Schedule:
Day shift
Tipe Lokasi:
In-person
Education:
Bachelor’s (Preferred)
Experience:
Python: 1 year (Preferred)
total work: 1 year (Preferred)
Work Location: In person
Speak with the employer
+91 8799052626