YASH Technologies Is Looking For Software Developers @ Indore | Private Indian Jobs

YASH Technologies Is Looking For Software Developers @ Indore | Private Indian Jobs

Job Description

Candidate should have Knowledge of Machine learning/ Deep Learning.Good understanding of database concepts and SQL.Knowledge of cloud platforms AWS/ GCP/ Microsoft Azure is a plus and Knowledge of NLP is plus includes spacy and black.

Good communication skills, Strong programming skills, and Knowledge of python is desirable.Hands-on with common data science libraries such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, etc.
Knowledge of data visualization and BI tools such as Tableau, PowerBI is a plus.Good understanding of statistics and time-series.Knowledge of any ML Frameworks such as Sckit-learn, Keras, and Tensorflow.

Continuous learning attitude, data-oriented thought process, and ability to understand and implement research papers.

Company NameYASH Technologies
Jobe RoleSoftware Development
QualificationB.Tech/ M.Tech/ MCA/ M.Sc
in Computer Science/
IT/ Statistics/ Data Science
Experience0-2 Years
Location Indore
Website yash.com

Job Responsibilities

  • As a Trainee Developer for machine learning, you will work in a team of experienced researchers, data scientists, and application developers taking on challenges posed by the Yash customers and product units.
  • You will work together with a team of dedicated experts including researchers, developers, DevOps engineers, and architects with a single goal of building the best machine learning pipelines for a variety of use cases spanning commerce, agriculture, Insurance, financial markets, and procurement.
  • You will have the chance to work with the richest data sets available in the world addressing real-world problems.
  • 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 have a chance to select and implement the best technologies and approaches based on your own experience, judgment, and experimentation results.

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