Job Description-AI Data Engineer
Good Programming Knowledge - Python, C++
Python Libraries -Numpy, Pandas
DL framework - Pytorch, Keras / Tensorflow, Scikit Learn
AI Concepts - Strong fundamentals & working experience in
Machine Learning (ML)
Deep Learning (DL )
Model Tuning, Optimization & Verification
Transfer Learning
Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers.
Tools
Git
Docker
Collaboration tools (Ex. Confluence, Jira)
Experience- 2-5 Years
Notice Period : Immediate
Data analyst & Software Specialist
- Understand LG device data, pre-sales, post-sales data
- Derive insights
- Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server)
- Statistical Reasoning
- ML/DL (Fault Diagnosis, Energy),
- Parameter Tuning and Optimization
Domain Specific- Must Have Skills
- Strong fundamentals & working experience in Exploratory Data Analysis (EDA)
- Good Programming Knowledge - Python, C++
- Python Libraries -Numpy, Pandas
- DL framework - Pytorch, Keras / Tensorflow, Scikit Learn
- AI Concepts - Strong fundamentals & working experience in
- Machine Learning (ML)
- Deep Learning (DL)
- Model Tuning, Optimization & Verification
- Transfer Learning
- Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, back propagation, and optimizers.
- Git
Tools
- Docker
- Collaboration tools (Ex. Confluence, Jira)
- Remaining Useful Life Prediction
- Anomaly detection
- Python
Good to Have
- Regression problem solving
- Experience in Cloud Developer toolchains (AWS or MS Azure)
- Software development kit
- Data storage options, connections
- Compute/container deployment
- Debugging
- ETL process
- Design: OOAD
- AI related certification - NLP / Vision / Audio / IOT
- Concepts of GPU based model training
Tools
- Data annotation tools
Education - BE / B.Tech / M.Tech
CDP AI/ML