
Machine Learning Engineer
4 weeks ago
Responsibilities :
- Embrace a "fail fast, learn faster" mentality, aiming for a 20-30% success rate in your ideas and experiments. Continuously optimize our experimentation process, making it faster, more efficient, and more insightful.
- Apply AI concepts to solve business problems, with a focus on rapid prototyping and iterative improvement.
- Leverage SQL and data manipulation tools to work with complex datasets, exploring unconventional approaches.
- Apply statistical methods, machine learning algorithms, and data visualization techniques to perform exploratory data analysis, embracing unexpected insights.
- Build and interpret models using tools like PySpark and ML-Flow, constantly testing new approaches and parameters.
- Write clean, well-documented code that facilitates collaboration and hence faster iteration.
- Continuously evaluate and enhance existing models, viewing each iteration as an opportunity to learn and improve.
Requirements :
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Tier 1 colleges are preferred).
- Minimum of 3 years of hands-on experience in data analysis, modeling, and AI solutions development.
Technical Skills :
- Proficiency in rapidly prototyping and testing ideas using large, complex datasets and SQL.
- Expertise in implementing and iterating on machine learning models and algorithms, with a focus on quick experimentation cycles.
- Strong programming skills in Python and/or SQL, with an emphasis on writing code that facilitates easy modification and testing.
- Experience in leveraging data visualization techniques to quickly interpret and communicate experimental results.
- Ability to swiftly deploy and iterate on AI solutions in cloud environments.
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