Senior Machine Learning Engineer - Speech / ASR
WorldWide
Observe.AI
ago
fulltime
ASR
MLOps
Speaker
TTS
What you would do:
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 require 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.
If you are excited about; owning & building a next generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!
- 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 & NLP platform
What we’re looking for:
- Bachelors or Masters degree in CS/EE from IITs or other leading research institutes
- Strong working experience in building Speech technologies like ASR, TTS, Diarization and Speech signals
- Hands-on experience in building end to end models using the latest architectures.
- 4+ years of commercial experience in ML solutions and pipelines
- 4+ years of programming experience in Python, Shell scripting and C/Java
- Hands-on experience in speech processing tools such as: Kaldi, Espnet, etc..
- 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