VAKIL Hiring Machine Learning Engineer

Location: Chennai
Experience: 4+ Years
Skill: Knowledge for Machine Learning

Job Description:

Responsibilities and Accountabilities:

  • Working on end-to-end automation with regard to complex workflows.
  • Meta data extraction from various kinds of documents submitted by Vakilsearch Customers. These documents will be images (different formats and resolutions), and PDF (text and scanned images).
  • Interactive voice bots that can understand what the customer needs and can respond back to them reducing the need for humans.
  • Natural Language processing algorithms to extract meta data and drive research workflows.
  • Automated email responses to customers based on understanding their intent and query.
  • Escalations to humans if automated interactions do not resolve customer queries.
  • Build end-to-end machine learning systems – consistent model training, evaluation, deployment and delivery for batch, streaming and real time use.
  • Build real-time low-latency machine learning platform to iterate quickly and deploy machine learning models into production.
  • Be hands-on in technical feature development, design and code reviews, prototyping. Work collaboratively with Engineers and Applied Scientists to design and implement the team’s technical vision.

Skill Set & Personality Traits required:

  • Have a proven understanding of computer vision and machine learning theory.
  • Experience in designing and implementing deep NN Architectures (both convolutional and recurrent) using open source deep learning frameworks, e.g. TensorFlow, PyTorch.
  • Possess practical experience applying machine learning to computer vision tasks using Python and modern frameworks such as scikit-learn, Tensorflow, or PyTorch.
  • Can demonstrate the ability to communicate complex ideas orally and in technical writing.
  • Have vision and experience to make end-to-end Machine Learning Platform solutions.
  • Proven experience working in product driven environment building and shipping early-stage technologies.
  • Strong professionally – credible with integrity.
  • Good communication skills.
  • Strong interpersonal skills.
  • Organizational skills and ability to manage deadlines.