Machine Learning (ML)What You will do:
● Play the role of Data Analyst / ML Engineer
● Collection, cleanup, exploration and visualization of data
● Perform statistical analysis on data and build ML models
● Implement ML models using some of the popular ML algorithms
● Use Excel to perform analytics on large amounts of data
● Understand, model and build to bring actionable business intelligence out of data that is available in different formats
● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations
Basic Qualifications:
● Experience: 4+ years.
● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.
● Experience in working with excel for data analytics
● Experience with statistical modelling of large data sets
● Experience with ML models and ML algorithms
● Coding experience in Python
Nice to have Qualifications:
● Experience with wide variety of tools used in ML
● Experience with Deep learning
Benefits:
● Competitive salary.
● Hybrid work model.
● Learning and gaining experience rapidly.
● Reimbursement for basic working set up at home.
● Insurance (including a top up insurance for COVID
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon