YASH Technologies off- campus recruitment drive to hire candidates  for  Trainee-Data Science. Interested candidate can read the  details and apply as soon as possible.

About: YASH Technologies, a leading enterprise business and technology solution partner for medium and large global customers, is seeking young IT Professionals from the engineering colleges to join us.  This is an exciting opportunity to start your career with a company that is making a high impact across the globe on Digital Transformation. If you thrive on the challenges and have the desire to make a real difference in the business world than come and join us !. You will be shaped as seasoned IT professionals and will work on emerging technologies.

Position: Trainee – Data Science

Location: Indore

Experience: 0-2 years

Job Description:

  • 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.

Eligibility:

  • B.Tech/ M.Tech/ MCA/MSc in computer science/IT/statistics/Data Science or equivalent from a top educational institution.
  • Strong programming skills. Knowledge of python is desirable.
  • Knowledge of Machine learning/Deep Learning.
  • Good understanding of statistics and time-series.
  • Strong programming skills. Knowledge of python is desirable.
  • Knowledge of Machine learning/Deep Learning.
  • Good understanding of statistics and time-series analysis concepts.
  • Knowledge of any ML Frameworks such as Sckit-learn, Keras, and Tensorflow.
  • Hands-on with common data science libraries such as Pandas, NumPy, SciPy, Matplotlib, seaborn, etc.
  • Knowledge of NLP is plus includes spacy and nltk.
  • Good understanding of database concepts and SQL.
  • Knowledge of data visualization and BI tools such as Tableau, PowerBI is plus.
  • Continuous learning attitude, data-oriented thought process, and ability to understand and implement research papers.
  • Knowledge of cloud platforms AWS/GCP/Microsoft Azure is plus.
  • Good communication skills.

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