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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Internet / E-Commerce |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
A Machine Learning Engineer produces a tailor-made solution for each problem. The only way to achieve optimal results is to carefully process the data and select the best algorithm for the given context.We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of current AI softwares predictive automation capabilities.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.Machine Learning Engineer Requirements :- Bachelors degree in computer science, data science, mathematics, or a related field.- Masters degree in computational linguistics, data analytics, or similar will be advantageous.- At least three years of experience as a Machine Learning Engineer.- Advanced proficiency with SQL, Python, Java and R code writing.- 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.- Ability to work in a teamResponsibilities :- Study and transform data science prototypes- Design machine learning models- Research and implement appropriate ML algorithms and tools- Develop machine learning applications according to requirements- Select appropriate datasets and data representation methods- Run machine learning tests and experiments- Perform statistical analysis and fine-tuning using test results- Manage CI/CD deployment pipelines - Train and retrain systems when necessary- Manage APIs for serving models - Extend existing ML libraries and frameworks- Own the metrics for the deployed models - Keep abreast of developments in the fieldAbout Us :DataLeap.Co was founded with the vision to help startups/enterprises on their data journey. We have a combined experience of more than 15 years in delivering specialised data solutions to drive business impact for our clients. We develop end-to-end solutions starting from business problems to deploying AI/ML solutions at scale. Our expertise lies in building automated solutions in a wide range of industry use cases and delivering real-world, high business impact solutions.We promise you the perfect opportunity to build technical excellence, understand business performance and nuances, be abreast with the latest happenings in the technology world and enjoy a satisfying work-life balance. You get an open and transparent culture along with the freedom to experimentation and innovation.,
Keyskills :
use casesdata sciencemusic makingdata modelingdata analyticsdata solutionsdata structuresproblem solvingcomputer sciencemachine learningcommercial modelsdata representationstatistical analysis