AI/ML Engineer

As a highly capable machine learning engineer at MangoApps, your role will involve optimizing machine learning systems to enhance the accuracy of our AI software's predictive automation capabilities. You will be responsible for evaluating existing ML processes, performing statistical analysis to resolve data set problems, and designing self-running AI software to automate predictive models. Key Responsibilities: - Designing machine learning systems and AI software to automate predictive models. - Transforming data science prototypes and applying ML algorithms and tools. - Ensuring accurate user recommendations from algorithms. - Converting unstructured data into useful information through auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing ML libraries and frameworks. - Developing ML algorithms using historical data to make predictions. - Running tests, performing statistical analysis, and documenting machine learning processes. - Keeping abreast of developments in machine learning. Qualifications Required: - Bachelor's degree in computer science, data science, mathematics, or a related field with at least 3+ years of experience as an AI/ML Engineer. - Advanced proficiency in Python and FastAPI framework, with exposure to libraries like scikit-learn, Pandas, NumPy, etc. - Experience in ChatGPT, LangChain (Must), Large Language Models (Good to have), and Knowledge Graphs. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - In-depth understanding of mathematics, statistics, and algorithms. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. MangoApps is a modern work platform that unifies employee experience by combining intranet, communication, collaboration, and training into one intuitive, mobile-accessible workspace.,