Machine Learning Engineer
1 week ago
Looking for a Talented ML Engineer
We are in search of a skilled ML Engineer to create and deploy machine learning models and algorithms that can tackle intricate business challenges and enhance our financial services platform.
Key Responsibilities:
- Develop and implement machine learning models and algorithms for resolving business issues and optimizing our financial services platform.
- Analyze and interpret complex data sets to derive valuable insights and facilitate well-informed decision-making.
- Evaluate and enhance existing machine learning models and algorithms.
- Remain updated on the latest advancements in machine learning and data science.
- Create a roadmap and establish strategies for continual enhancements to the models.
- Engineer image processing algorithms and leverage generative AI for product advancement.
- Acquire a mathematical comprehension of the loan product and the concept of risk associated with it.
Requirements and Qualifications:
- Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 2+ years of experience as an ML Engineer or similar position in a dynamic setting.
- Proficient programming skills in Python, R, or equivalent languages.
- Solid grasp of statistics, probability, and algorithms.
- Strong analytical skills to swiftly comprehend business problems, translate them into mathematical challenges, and propose quantitative solutions.
- Experience in analyzing extensive data sets and the ability to formulate, test, and validate hypotheses for making modeling decisions.
- Keen attention to detail and a methodical approach to data comprehension.
- Preferable background in text analysis, classification, and tagging algorithm development.
- Experience with image processing algorithms and generative AI for product innovation.
- Familiarity with simulation and Markov chain-based model constructions is a plus.
- Excellent communication and teamwork skills.
Job Types:
Full-time, Permanent
Compensation: $120,000 per year
Benefits:
- Health insurance
- Paid time off
- Provident Fund
Schedule:
- Day shift
- Fixed shift
- Monday to Friday
Experience:
Total work: 1 year (Preferred)
Work Location:
Remote
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