Machine Learning Systems Engineer

A modern work platform means a single source of truth for your desk and deskless employees alike, where everything they need is organized and easy to find.

MangoApps was designed to unify your employee experience by combining intranet, communication, collaboration, and training into one intuitive, mobile-accessible workspace.

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 our AI software's 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 machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

AI / ML Engineer 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.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to 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.

AI / ML Engineer Requirements

Skills : fastapi,python,large language models,large language model,pandas,artificial intelligence,mathematics,machine learning,knowledge graphs,flask,python for data analysis,scikit-learn,langchain,algorithms,data science,chatgpt,numpy,statistics