Machine Learning Engineer

6 days ago

Pune, Maharashtra, India YASH Technologies Full time
Job Description

We are seeking a highly skilled Machine Learning Engineer to join our team at YASH Technologies.

Your primary goal will be to implement state-of-the-art algorithms and to develop new approaches and technologies for deriving value from our customers' data.

You will work together with a team of dedicated experts including researchers, developers, DevOps engineers, and architects with a single goal of building best machine learning pipelines for a variety of use cases spanning commerce, agriculture, Insurance, financial markets, and procurement.

The ideal candidate should have:

  • Experience with Machine Learning, NLP, Deep Learning Practical knowledge of working with scalable platforms for processing of huge data sets,
  • Ability to understand the data, associated processes and business implications,
  • Scaling from minimum viable product up to shippable production code,
  • Build and maintaining innovative new products from the ground-up.

Key Responsibilities:

  • PUSHING THE FRONTIERS OF WHAT IS POSSIBLE IN THE AREA OF MACHINE LEARNING TO CREATE NEW INCUBATION
  • Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning and deep learning
  • Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
  • Understand business processes which create and consume data to be able to select best approaches, evaluate their performance, and assess business relevance
  • Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation
  • Communicate the relevance of implemented systems and achieved results in a visual and consistent way
  • Work closely with the team (product owner, designers, and other developers) and customers to holistically understand business and user requirements, and derive adequate application development concepts
  • Performing quality assurance tasks
  • Working together with partners and customers
  • Solve complex integration issues
  • Ability to work in global teams with different time zones
  • Immerse yourself quickly in new topics, terminology and development tasks

Salary: $120,000 - $180,000 per annum, based on experience and location.

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