Experience : 1-2 yearsLocation : Andheri EastNotice Period: Immediate-15 daysResponsibilities:1. Study and transform data science prototypes.2. Design NLP applications.3. Select appropriate annotated datasets for Supervised Learning methods.4. Find and implement the right algorithms and tools for NLP tasks.5. Develop NLP systems according to requirements.6. Train the developed model and run evaluation experiments.7. Perform statistical analysis of results and refine models.8. Extend ML libraries and frameworks to apply in NLP tasks.9. Use effective text representations to transform natural language into useful features.10. Develop APIs to deliver deciphered results, optimized for time and memory.Requirements:1. Proven experience as an NLP Engineer of at least one year.2. Understanding of NLP techniques for text representation, semantic extraction techniques, datastructures and modeling.3. Ability to effectively design software architecture.4. Deep understanding of text representation techniques (such as n-grams, bag of words, sentimentanalysis etc), statistics and classification algorithms.5. Hands on Experience of Knowledge of Python of more than a year.6. Ability to write robust and testable code.7. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)8. Strong communication skills.9. An analytical mind with problem-solving abilities.10. Bachelor Degree in Computer Science, Mathematics, Computational Linguistics.
1. The candidate should be passionate about machine learning and deep learning.2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.3. Hands-on experience with statistical, machine-learning tools and techniques4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.8. Expert level coding experience in Python.9. Technologies: Backend - Python (Programming Language)10. Should have the ability to think long term solutions, modularity, and reusability of the components.11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.