Data Analyst / ML Engineer

Role: - Data Analyst / ML Engineer
Industry: - IT-Services
Function: - Information Technology
Salary (Lacs): - 20.00-40.00
Exp (Yrs): - 4.00-12.00
Age: - 38
City/State: - Mumbai, Pune, Hyderabad, Bangalore
Education: - Graduation
Required Skills: Python, Hands-on Development experience, Statistical Modelling of Large Data sets, Experience with ML models and ML algorithms
Work Mode: -HYBRID
Working Day: -5
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 at least 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 preferred.
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.
Description
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).