Machine Learning Engineer/Researcher

Location

Bangalore | India

Job description

• As an MLE, you will be responsible for building robust machine learning solutions in collaboration with dedicated software engineers.

Responsibilities:

1. Data preparation: building scripts for the preprocessing of a large amount of data.
2. Training models: Model building with different ASR toolkits such as Kaldi, ESPnet, SpeechBrain etc
3. Research: Implementing and experimenting for research on ASR/Signal Representation and assessment.
4. MLOps: Deployment of trained ASR model

Early-stage of proof of concept (PoC)

1. Setup and structure code bases that support an interactive ML experimentation process, as well as quick initial deployments
2. Develop and maintain toolsets and processes to ensure the reproducibility of results
3. Code reviews with other technical team members at various stages of the PoC
4. Develop, extend, and adopt a reliable, collab-like environment for ML

Late PoC

1. Develop ETL pipelines. Set up and maintain feature stores, databases, and data catalogs.
2. Develop and support model metrics

Responsibilities during production deployment

1. Develop and support A/B testing. Set up continuous integration and development (CI/CD) processes and pipelines for models
2. Develop and support continuous model monitoring
3. Define and publish service-level agreements (SLAs) for model serving. Such agreements include model latency, throughput, and reliability
4. L1/L2/L3 support for model debugging
5. Develop and support model serving environments
6. Model compression and distillation

Requirements

Candidates should possess a strong knowledge of ML/AI concepts, and expert-level knowledge of how those concepts can be applied.

Qualification/requirements:

1. (Essential)Bachelor s in Computer science/ Electrical engineering or related degrees
2. (Essential)Have worked on deep learning previously with PyTorch/TensorFlow
3. (Essential) Proficient in Matlab and/or Python and/or Bash scripting
4. (Preferred)Coursework done in linear algebra, probability, signal processing, machine learning etc
5. (Preferred)Familiar with speech processing
6. (Preferred)Familiar with basics of Natural language processing and language modelling
7. (Preferred)Experience with deep learning on speech tasks
8. (Preferred)Experience with deploying deep learning model s

Job tags

Salary