YASH Technologies Off  Campus |Trainee|Software Development|B.Tech/ M.Tech/ MCA/MSc

YASH Technologies Off  Campus:YASH Technologies hiring candidates for the role of Trainee – Data Science ,for Indore location . The complete details about YASH Technologies Off Campus Hiring 2020 as follows.

YASH Technologies Off  Campus:

Required Qualification:

• 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.

Job Description :-

• YASH Technologies is looking forward to hire IT professionals, as an Data Scientist at a Trainee level.
• This role is for applicant swho thrive on challenges and desires to make a real difference in the business world. With an environment of extraordinary innovation and unprecedented growth, this is an exciting opportunity for a self-starter who enjoys working in a fast-paced, quality-oriented, and team environment

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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