Company MissionLeegality 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 EnvironmentLeegality 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 countryCreating 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 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: more information about us please visit our:Our Company and Culture: Website: LinkedIn Page:
Job Title
Machine Learning Engineers (Immediate Joiners)