About the Role:

Grade Level (for internal use):
12Job Description

Responsibilities:
Develop and implement machine learning models and algorithms for large scale machine learning projects.
Collaborate with data scientists and software engineers to design and deploy scalable machine learning solutions.
Conduct data analysis and feature engineering to extract valuable insights from large datasets.
Optimize and fine-tune machine learning models to improve performance and accuracy.
Stay up-to-date with the latest advancements in machine learning and apply them to enhance existing models.
Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions on time.

Requirements:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience in AWS Cloud Stack
Solid programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
Coding experience in Python (Expert Level)



to write robust and high standard Machine Learning code; experience with version control (preferably Git)
Hands on project lifecycle experience, from business analysis to productization
Experience working with databases (e.g. SQL)
Solid understanding of machine learning algorithms and techniques, including deep learning, natural language processing, and computer vision.
Experience working on large scale machine learning projects, handling big data, and distributed computing frameworks like Hadoop or Spark.
Proficient in data manipulation, data preprocessing, and feature engineering. - Robust problem-solving and analytical skills.
Excellent communication and collaboration abilities.

People Sills
Able to translate business problems into problems that can be solved with Data Science
Able to communicate technical ideas effectively to non-technical audience
Ability to work in a team
Curious and open-minded attitude to recent approaches

About

📌 Associate Director, Machine Learning Engineering Gurugram (India)
🏢 S&P Global
📍 India