Machine Learning Scientist

We are looking for talented and driven individuals to join a high-impact team at the core of Observe.AI's mission. This is a highly challenging role that will engage your understanding of Machine learning and Deep learning algorithms; to build a never-before-seen machine intelligence product. The role will involve designing components & building ML pipelines from scratch, architecting low latency systems at scale. If you are excited about; owning & building a next generation Conversational AI platform and working on core algorithms, right from training to production, you’ll love the job!

Below mentioned are the key responsibilities and qualifications for this role:

What you will do:

● Architect and build Observe.AI Voice & NLP platform

● Work with large data-sets and train ML or Deep learning models

● Prototype and experiment with various ML and Deep learning techniques for performance and scalability

● Up-to-date with Deep learning literature and research publications in order to evaluate and implement latest techniques into Observe.AI Voice & NLP platform

● Propose new ML or Deep learning methods for some of the NLP/speech problems and submit research publications to the leading conferences

What we are looking for:

● Strong fundamentals in Mathematics (esp. Linear algebra), Statistics, Machine learning, Natural language processing, Speech processing

● Alumnus with advanced degrees (Masters or Ph.D ) in the above mentioned fields from IITs or other leading Foreign universities are preferable

● Proficient in Deep learning theories such as CNNs, RNNs (LSTM), Attention models, Transformers

● 8+ years of research experiences in Natural language processing or Nature language understanding (e.g. Text classification, Sentiment analysis, Entity recognizer, Dialog systems) or Speech processing (e.g. Speech recognition, Speaker diarization & verification, Text-to-speech)

● 3+ years of experience in applying Deep Learning algorithms in solving AI problems

● Research publications in NLP or Speech technology conferences (ICASSP, InterSpeech, EMNLP, ACL)

● Hands on experience with natural language and speech processing tools such as: NLTK, CoreNLP, ESPNet, and Kaldi

● Experience with ML and deep learning libraries such as: Scikit Learn, TensorFlow, PyTorch

● Demonstrable proficiency in Python, Shell scripting and C/Java