Job description
About Company:
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 mobileaccessible 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 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 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 selfrunning 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 autotagging images and texttospeech conversions.
- Solving complex problems with multilayered 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:
- Bachelors degree in computer science data science mathematics or a related field with at least 3yrs of experience as an AI/ML Engineer
- Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikitlearn Pandas NumPy etc..
- Experience in working on ChatGPT LangChain (Must) Large Language Models (Good to have) & Knowledge Graphs
- Extensive knowledge of ML frameworks libraries data structures data modelling and software architecture.
- Indepth knowledge of mathematics statistics and algorithms.
- Superb analytical and problemsolving abilities.
- Great communication and collaboration skills.
pandas,fastapi,data modeling,scikit-learn,machine learning,numpy,langchain,python for data analysis,knowledge graphs,algorithms,data structures,software architecture,python,chatgpt,machine learning algorithms,mathematics,large language models,artificial intelligence,statistics,machine learning models