Associate Director, Machine Learning Engineer

S&P Global

Associate Director Machine Learning Engineer at S&P Global developing and implementing machine learning solutions. Collaborating with data scientists and deploying scalable models for large-scale projects.

Posted 6/9/2026full-timeGurugram • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudHadoopPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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.
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 new approaches

Benefits

Comp & perks

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata analysisfeature engineeringPythonTensorFlowPyTorchscikit-learnSQLHadoopSpark

Soft Skills

problem-solvinganalytical skillscommunicationcollaborationteamworkcuriosityopen-mindedness

Certifications

Bachelor's degreeMaster's degree