.. and provide necessary solutions along with designers and architects. Knowledge on business analysis skills will be an added advantage. Automation and Agile Environment: Lead automation efforts to address repeatable problems and enhance operational efficiency. Proactive and detail-oriented approach to .. read more
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.
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: 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/leegalit y/