Leegality - Machine Learning Engineer - Python

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.