Offer summary

Qualifications:

1+ years of experience in Machine Learning Engineering., Advanced proficiency in Python and knowledge of ML frameworks and libraries., Strong understanding of mathematics, statistics, and algorithms., Excellent analytical, problem-solving, communication, and organizational skills..

Key responsabilities:

Design and develop machine learning systems and AI software for predictive models.

Transform data science prototypes and apply appropriate ML algorithms.

Optimize existing machine learning libraries and frameworks while solving complex problems.

Document machine learning processes and stay updated on developments in the field.

Job description

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 https://www.leegality.com/case-studies

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.

Requirements

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 and 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.
Exposure to generative AI (LLM) based ML architectures
Experienced in working with CNN.
Knows how to train and fine tune CNN based models.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.

Requirements:

1+ 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: https://careers.leegality.com/jobs/Careers

For more information about us please visit our:

Our Company and Culture: https://bit.ly/3Iqm5SB

Our Website: https://www.leegality.com/

Our LinkedIn Page: https://www.linkedin.com/company/leegality/