Machine Learning Engineer Job in Leegality- Esign And Document Workflow Platform
Machine Learning Engineer
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
- Permanent
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, 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.
Fresher
2 - 4 Hires
