
AI/ML Engineer
1 day ago
We are seeking a skilled AI/ML Engineer with a strong background in fintech applications. The ideal candidate will have:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 3-5 years of hands-on experience in AI/ML model development and deployment.
- Mandatory experience with Cursor.
- Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, and PyTorch.
- Skills in data wrangling using Pandas, NumPy, and SQL.
- Deep understanding of machine learning algorithms, statistics, and evaluation metrics.
- Experience with financial datasets and domain-specific challenges.
- Knowledge of deployment frameworks like Docker, Kubernetes, FastAPI.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools.
- Excellent analytical, problem-solving, and communication skills.
- Design, develop, train, and deploy ML models for fintech applications such as credit scoring, fraud detection, customer analytics, and risk analysis.
- Clean, preprocess, and analyze large structured and unstructured financial datasets.
- Implement and optimize predictive models using various learning techniques.
- Collaborate with data engineers and product teams for deployment.
- Monitor and maintain model performance, handle data drift, and retrain models as needed.
- Apply AI/ML research to innovate financial solutions.
- Ensure compliance with regulatory and data privacy standards.
- Stay updated with AI/ML and fintech industry trends.
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