Associate Director, Machine Learning Engineering
Gurugram, Haryana
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop 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.
Optimize and fine-tune machine learning models to improve performance and accuracy.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Ability to work in a team
- Experience in AWS Cloud Stack
- Experience working with databases (e.g.
- 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.
Qualification wording
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Ability to work in a team
Experience in AWS Cloud Stack
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.
Tools in this posting
- Python
- AWS
- Hadoop
- PyTorch
- TensorFlow
- SQL
- Spark
- scikit-learn
Source — Tool mentions in context
- 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)
- 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
- 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.
- 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.
- 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.
Benefits in the posting
Full benefits wording- Our benefits include:
- Health & Wellness: Health care coverage designed for the mind and body.
- 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.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
- Global Hiring and Opportunity at S&P Global:
- Recruitment Fraud Alert:
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From the employer’s posting.
About S&P Global
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information.
In the employer’s words · Read in context
Job description
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 new approaches
About S&P Global Market Intelligence
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
For more information, visit www.spglobal.com/marketintelligence.
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
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.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
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IFTECH103.2 - Middle Management Tier II (EEO Job Group)Your next step
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, Haryana
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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- Status in our records
- Active
- First seen by us
- Aug 4, 2026
- Recorded sightings
- 151
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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