We are seeking a Senior Machine Learning Engineer at Observe AI. In this role, we are looking for talented and self-driven individuals to join a high-impact team at the core of Observe.AI's mission to build the next generation voice AI products for Contact Center. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms to build a never-before-seen machine intelligence product. The role will involve building ML pipelines from scratch, architecting and implementing low latency systems at scale.
Below mentioned are the key responsibilities and qualifications for this role:
Key Responsibilities:
- Work with large data-sets and build a ML pipeline to process and train the data
- Run ML experiments scientifically and analyze the results
- Optimize ML solutions for performance and scale
- Deploy solutions into production and maintain several models for fast experiments
- Simply, own a module end-to-end and show us your data skills
- Keep up-to-date with latest ML and deep learning literature to implement latest techniques into Observe.AI Voice and NLP platform
Qualifications:
- Bachelors or Masters degree in CS/EE from IITs or other leading research institutes
- Strong working knowledge of Machine learning/Deep learning techniques and Natural language processing/ Speech processing
- 4+ years of Industry experience in ML solutions and pipelines
- 4+ years of programming experience in Python, Shell scripting and C/Java
- Hands on experience Natural language and speech processing tools such as: NLTK, openNLP, coreNLP, Kaldi and Sphinx
- Experience with Machine learning and Deep learning libraries such as: Scikit Learn, TensorFlow or PyTorch
- Experience with big data and distributed computing technologies such as: Hadoop, MapReduce, Spark, and Storm