Job openings for Ml Engineer in Bangalore Mumbai Pune Hyderabad

Mandatory Criteria (Can't be neglected during screening) :
— Looking for Only BTech and BE candidates.
— Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer.
— Candidate must have Coding experience in Python.
— Need candidates with atleast 1-2years of ML experience.
— Candidate should have Good Experience with ML models and ML algorithms.
— Need Experience with statistical modelling of large data sets.
— Looking for Immediate joiners or max. 30 days of Notice Period candidates.
— The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered.
— Kindly note Salary bracket will vary according to the exp. of the candidate -
- Experience from 4 yrs to 5 yrs - Salary range - 15 LPA - 21 LPA max.
- Experience from 6 yrs to 7 yrs - Salary range - 21 LPA - 25 LPA
- Experience of 8 yrs to 9 yrs - Salary range - 30 LPA - 32 LPA
- Experience 10 yrs to 12 yrs - Salary upto 40 LPA max.
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:
— Only BTech and BE candidates.
— 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).