Home

Sr machine learning at S&P Global

Location: New York, New York, us

Job Summary:

1. Job Duties and Scopes
- Develop and implement machine learning models and algorithms for large-scale projects.
- Collaborate with cross-functional teams to design and deploy scalable solutions.
- Conduct data analysis and feature engineering from large datasets.
- Optimize machine learning models for performance and accuracy.
- Stay updated with advancements in machine learning and apply them.

2. Required Skills
- Strong programming skills in Python and proficiency in machine learning libraries (e.g., TensorFlow, PyTorch).
- Experience with AWS Cloud Stack and SQL databases.
- Solid understanding of various machine learning algorithms and techniques.
- Proficient in data manipulation, preprocessing, and feature engineering.

3. Required Experiences
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- Hands-on experience throughout the project lifecycle from analysis to productization.
- Experience in large-scale machine learning projects and distributed computing frameworks (Hadoop or Spark).
- Expert-level coding experience in Python with version control (preferably Git).

Job URLs: