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

Positive 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

Positive Programming Knowledge - Python, C++

AI Concepts - Robust 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

📌 Ai Data Science Developer And Analyst Bengaluru (India)
🏢 Deevia Software India
📍 India