AI Data Science Developer and Analyst

AI Data Science Developer & Analyst

Education: BE / ME/ B.Tech /M.Tech

Experience: Experienced (2~ 5)

• Advanced Time Series Modelling
• Large Scale Sensor Data (with time series) Preprocessing & Analytics
• Must be able to research & code relevant research papers in AI/ML independently from scratch
• Statistical Reasoning
• Parameter Tuning and Optimization

 Good to have:

AI related certification - Time Series / NLP / Vision / Audio / IOT

Concepts of GPU based model training

Open source NLP toolchain

Hands on experience in NLP, NLU, NLG tasks

Edge computing – (on device training)

Design: OOAD

 Domain Specific

Edge computing - low resource AI computing

ML/DL framework - Tensorflow, Pytorch, Keras, Scikit Learn

Models - LSTM,GRU,CNN, ARIMA/SARIMA, XGBoost, LightGBM, Regression, Random Forest

Python Libraries -Numpy, Pandas 

Good Programming Knowledge - Python, C++

AI Concepts - Strong fundamentals & working experience in

o Machine Learning (ML)

o Deep Learning (DL)

o Model Tuning, Optimization & Verification

o Transfer Learning

o Excellent understanding of lower level fundamentals of deep learning models such as mathematics of layer details, probabilistics, normalization, backpropagation, and optimizers.

 

Tools

Dev tools (Ex. Git, Docker)

Collaboration tools (Ex. Confluence, Jira)

Linux, CUDA libraries