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
- Strong 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. - Strong 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)
🏢 S&P Global
📍 Gurugram