Machine Learning Engineer

**Location - Bangalore/Pune/Mumbai

Notice Period - Immediate Joiner (upto 30days max.)**

About us:

Zemoso Technologies is a Software Product Market Fit Studio that brings silicon valley style rapid prototyping and rapid application builds to Entrepreneurs and Corporate innovation. We offer Innovation as a service and work on ideas from scratch and take it to the Product Market Fit stage using Design Thinking->Lean Execution->Agile Methodology.

We were featured as one of Deloitte Fastest 50 growing tech companies from India thrice (2016, 2018 and 2019). We were also featured in Deloitte Technology Fast 500 Asia Pacific both in 2016 and 2018.

We are located in Hyderabad, India, and Dallas, US. We have recently incorporated another office in Waterloo, Canada.

Our founders have had past successes - founded a decision management company acquired by SAP AG (now part of Hana Big data stack & NetWeaver BPM), early engineering team of Zoho (leading billion $ SaaS player) & some Private Equity experience.

Marquee customers along with some exciting start-ups are part of our clientele.

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: 5+ 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).