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Machine Learning Engineer
1 month ago
This exciting opportunity at Upskills will challenge you to develop and implement machine learning models to address complex financial and insurance challenges. You will work closely with our team of experts to integrate components into a cohesive AI pipeline, utilizing large language models for document analysis and information extraction.
Key Responsibilities:- Design and build scalable machine learning pipelines with data scientists and engineers
- Conduct exploratory data analysis to generate actionable insights
- Stay up-to-date with advancements in machine learning and AI to propose innovative solutions
- Document and present your work, findings, and results to both technical and non-technical stakeholders
- Currently pursuing a master's or bachelor's degree in computer science, Data Science, Statistics, Mathematics, or a related field
- Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch
- Expertise in exploratory data analysis of large data sets Knowledge of statistical analysis and data visualization techniques
- Strong problem-solving skills and ability to work independently as well as in a team
- Excellent communication skills, both written and verbal
- Hands-on experience with real-world machine learning projects in the fintech sector
- Mentorship and guidance from experienced data scientists and engineers
- Opportunity to work in a fast-paced, innovative, and collaborative environment
- Networking opportunities with industry professionals