Machine Learning Engineer

2 weeks ago

gurgaon, 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  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:   more information about us please visit our:
Our Company and Culture:   Website:   LinkedIn Page:   y/

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