To work on Data Science projects in the area of AI, ML, NLP.

Key Responsibilities:

1. Understand Customer Problem and Data Requirements.
2. Translate Customer requirements into a Data Science Problem.
3. Propose a Data Science solutions
4. Design machine learning systems (Supervised & Unsupervised)
5. Research and implement appropriate ML algorithms and tools
6. Develop machine learning applications according to requirements
7. Select appropriate datasets and data representation methods
8. Perform statistical analysis and fine-tuning using test results
9. Train and retrain systems when necessary
10. Extend existing ML libraries and frameworks
11. Prepare Data followed by Model development
12. Model Testing and Deployment
13. Keep abreast of developments in the field

Qualifications and skills:

1. Engineering Degree is a MUST
2. 5+ years experience in AI/ML/NLP/Cognitive Analysis
3. Understanding of data structures, data modelling and software architecture
4. Deep knowledge of math, probability, statistics and algorithms
5. Ability to write robust code in Python, Java and R
6. Good knowledge of NumPy and Matplotlib libraries.
7. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
8. Experience in deploying on AWS, Google Cloud Platform or – Microsoft Azure will be preferred.
9. Quick learner of newer models, libraries and modelling techniques
10. Excellent communication and presentation skill