To work with engineering teams on new multiple areas of machine learning: computer vision, natural language processing, pricing, forecasting, conversational chatbots, recommendation, audio analysis, search ranking, and user-behavioral modeling.
0 - 4 years
B.Tech/B.E
1. Study and transform data science prototypes
2. Design machine learning systems
3. Research and implement appropriate ML algorithms and tools
4. Develop machine learning applications according to requirements
5. Select appropriate datasets and data representation methods
6. Run machine learning tests and experiments
7. Perform statistical analysis and fine-tuning using test results
8. Extend existing ML libraries and frameworks
9. Keep abreast of developments in the field
Technology , Machine Learning
Behavioral -
"1. Willingness to innovate, explore new ideas and acquire new skills and knowledge
2. Attention to detail and a commitment to excellence
3. Good Problem-solving abilities
4. Good time management skills""
5. Excellent communication skills with the ability to present complex technical information in a clear and concise manner to a variety of stakeholders
Technical -
NLP:
Technologies: LSTM/GRU,
Vision:
Technologies: CNN, ResNet
Tools: Keras/Tensorflow, PyTorch, Python
1. Experience with big data technologies such as Spark/PySpark and data lakes is a plus
2. Understanding of hosting APIs and libraries such as Flask and FastAPI is a plus
3. AWS experience is a plus