AI / ML Engineer
MangoAppsIndia2 days ago
Full-timeInformation Technology, Analyst +1
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We are looking for a highly capable machine learning engineer to optimise 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.
Responsibilities
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 optimising existing machine learning libraries and frameworks.
- Developing ML algorithms for 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.
- 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 with Python and FastAPI framework, along with good exposure to libraries like scikit-learn, Pandas, NumPy, etc.
- Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have), and Knowledge Graphs.
- Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
Key Skills
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