Machine Learning Engineer

3 weeks ago

Gurugram, India Leegality Full time

This is a remote position.

Company Mission


Leegality is India’s first Document Infrastructure Platform - a radical new digital way for businesses to complete paperwork (agreements, forms and other legal documents). Over the last 7 years, Leegality has changed the way 2000+ Businesses do their paperwork from large enterprises like HDFC, SBI Cards, Federal Bank, ICICI Lombard, Axis Finance, Tata Capital etc. to high-growth companies like Razorpay, Rupeek, Cars24, Dunzo etc.


To see our impact on customers click here 


Company Environment


Leegality has an Employee Net Promoter Score of 97 - the highest on xto10x’s eNPS Survey for Q1 2022. The highest among 60+ notable startups. This makes us, arguably, the most employee-loved startup in the country


Creating a category-defining company - and changing the way businesses perform a critical function like paperwork - requires powerful marketing that resonates with people.


Job Brief:

  • As ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities and have a real impact on our product.
  • To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role.
  • A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.



Responsibilities:

  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Running tests, performing statistical analysis, and interpreting test results.
  • Documenting machine learning processes.
  • Keeping abreast of developments in machine learning.


Requirements:


  • 2+ years of relevant experience in Machine Learning Engineering.
  • Advanced proficiency with Python.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.


Preferences:


  • Start-up experience is good to have.
  • Willing to join immediately ideally. 


Recruitment Process: 

 

  • To effectively evaluate your application, it is important that we get to know you better. It is necessary that you complete the job-based assessment.
  • Please answer all questions in the assessment thoroughly.
  • You will be shortlisted based on your profile and answers to the job - based assessment.
  • On being shortlisted, you would be contacted for the interview process.
  • We further have 3 rounds of interviews.
  • Your final CTC would be decided on the basis of your skills, experience and final assessment.

Apply directly through our career page:  

 

For more information about us please visit our:

Our Company and Culture:  

Our Website:  

Our LinkedIn Page:   y/

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