Lead Machine Learning / Deep Learning Engineer

Job Requirements

5+ Years of experience in Machine Learning /Deep Learning.

Proficiency with OpenCV.

Must have proficiency with Python and basic libraries for machine learning.

Proficiency with a deep learning framework such as NLTK, Spacy, Scikit-Learn, Tensorflow, Pytorch, Keras, Numpy, and Pandas.

Must have experience with algorithms on Sentiment Analysis, RNN (Recurrent Neural Network), Text extraction and processing, data cleaning, and data processing.

• Hands-on experience in supervised machine learning techniques and algorithms, Sentiment Analysis, RNN (Recurrent Neural Network), Text extraction and processing, data cleaning, and data processing.
• Hands-on experience in unsupervised machine learning techniques and algorithms, such as various clustering algorithms and dimensionality reduction techniques.

Must understand Artificial Intelligence technologies including some or all:

• Knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, unsupervised machine learning, and/or reinforcement learning, Text mining and Text Processing, Decision tree and lexical analysis.

Experience in Computer Vision and Image Processing.

• Knowledge of Forecasting, Linear Optimization, and various other applied statistical methods like hypothesis testing, Analysis of variance, confidence intervals, etc.
• Experience in data training means it will be an advantage.