AI Developer

Skills Required
Deep learning Framework (Tensorflow/Keras/PyTorch)
ML/NLP - Python, Pandas, NumPy, SciPy, Matplotlib,NLTK,SpaCy

Responsibilities
Develop ML or DL models for application areas such as NLP, Computer Vision, and Analytics
Experiment with various algorithms, design, code, train/test, deploy and benchmark the models and create enterprise-scale ML solutions
Design and implement production-quality software in a cloud-based environment
Troubleshoot and provide timely resolutions to product development and support issues
Write high-quality code and provide feedback relative to best practices and improving performance
Have quality assurance in mind and implement software with a high level of test coverage
Analyze product requirements for completeness and potential impacts
Take ownership of features from beginning to end - from design and reviews to deployment
Being up to date with the latest trends and sharing insights with the internal team
Participate in brainstorming sessions and be a creative influence in the product development process
Should be self-sufficient and proactive in their work and implement best-practice processes
Continually improve your own skills and knowledge

Requirements
Solid understanding of algorithms, data structures, data modeling and software architecture
Solid programming skills in python and basic know-how in C#/java
Experience in ML, DL (Tensorflow/ Keras/PyTorch), NLP, and NLU (NLTK, Spacy, Flair, etc.)
Good understanding and relevant experience in ML techniques/ NLP/ Computer Vision tasks such as classification, clustering, deep learning, optimization methods, NER, dependency parsing, boundary detection, etc.
Fluency in Python: Pandas, NumPy, SciPy, PyTorch, Matplotlib
Techniques: Regression analysis, Natural Language Processing (NLP) models, CNN DNN, Decision tree, Deep learning algorithms.
Experience any of the database technology such as MySQL, Postgres, Oracle, and NoSQL databases
Working experience with GCP, AWS, and other cloud-based ML services is a plus
Knowledge of AWS Sagemaker will be a plus
Experience working with remote engineering teams