Machine Learning Engineer
4 hours ago
Roles & Responsibilities
We are a fintech company dedicated to transforming the financial sector with data-driven strategies. Our mission is to harness the power of machine learning and artificial intelligence to create innovative solutions for complex financial challenges.
Key Responsibilities:
- Develop and implement machine learning models to address financial and insurance challenges.
- Apply large language models for document analysis and information extraction.
- Utilize machine learning techniques for predictive analytics and data-driven decision-making.
- Collaborate with team members to integrate machine learning components into an AI pipeline.
- Clean and preprocess large datasets using statistical and machine learning techniques.
- Design 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.
- Participate in team meetings and code reviews.
- Document and present work, findings, and results to stakeholders.
Requirements:
- Currently pursuing a 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.
- Expertise in exploratory data analysis of large datasets.
- Experience in deploying large language models and familiarity with AI platforms and tools.
- Familiarity with data preprocessing techniques and tools.
- Knowledge of statistical analysis and data visualization techniques.
- Strong problem-solving skills and ability to work independently and in a team.
- Excellent communication skills, both written and verbal.
- Prior experience with financial data or in the fintech industry is a plus.
What We Offer:
- 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.
- Potential for future career opportunities within the company.
How to Get Started:
- Submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Tell us about your relevant skills:
- TensorFlow
- Machine Learning
- Pandas
- Ability To Work Independently
- Pipelines
- Mathematics
- Artificial Intelligence
- Predictive Analytics
- Information Extraction
- Mentorship
- PyTorch
- Capital Markets
- Data Science
- Python Programming
- Data Visualization
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