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 Name||YASH Technologies|
|Jobe Role||Software Development|
|Qualification||B.Tech/ M.Tech/ MCA/ M.Sc|
in Computer Science/
IT/ Statistics/ Data Science
- 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.