ML Engineer

Bengaluru, Karnataka, India | Full-time | COVID-19 remote

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ML Engineer

Who we are

We at Agara believe voice conversations should be without friction, without barriers, and without frustration. Pushing the boundaries of deep learning, we are building ubiquitous, pleasant, and meaningful machine-led voice conversations accessible to all. Agara’s AI voice agents talk to customers around the globe. Most of our work involves building conversational AI systems, using speech technology and natural language processing.

What you’ll do

Build robust and scalable machine learning libraries, frameworks and infrastructure that enable Agara’s NLP and speech models to power real time conversations. You will work closely with a team of machine learning scientists to build training and data pipelines for large deep learning models.

We require that you have

  • B.Tech, M.Tech or Ph.D in Computer Science or equivalent work experience
  • Relevant work experience of 3+ years
  • Enthusiastic to work in a fast-paced environment, along with machine learning scientists and software engineers
  • Comfortable with at least one deep learning framework (PyTorch / Tensorflow)
  • Previous experience deploying and serving large scale deep learning models in production systems
  • Working knowledge of training deep learning models
  • Previous experience building model training and data pipelines 
  • Familiarity with cloud service platforms (AWS / GCP), and comfortable working with GPU instances
  • Comfortable with git and GitHub
  • Excellent programming skills in Python
  • Comfortable with Linux and command-line utilities 

Bonus if you have

  • Previous experience using managed ML deployment services such as Amazon Sagemaker
  • Previous experience working with model lifecycle management systems such as MLFlow
  • Model optimization methods such as precision training and quantization

What we offer

Apart from all the general benefits of best in industry compensation, benefits, and perks, we are proud of our great talent, great work, and great culture. We believe in mutual trust, flexibility, and transparency.