Associate Director, Machine Learning Engineering

S&P Global, Inc.; Gurgaon; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Job summary

S&P Global, Inc. in Gurgaon, India is seeking a highly skilled ML Engineer to develop and deploy large-scale machine learning models. You will collaborate with data scientists and software engineers to design scalable solutions, perform data analysis, and optimize models for performance and accuracy.

The role requires strong Python expertise, experience with AWS, and familiarity with TensorFlow, PyTorch, or scikit-learn, along with a deep understanding of ML algorithms and big data processing.

Qualifications

• 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.

Responsibilities

• Develop and implement ML 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.

Skills

Python

SQL

Data analysis

Feature engineering

Communication

Teamwork

Problem solving

Big data

Education

Bachelor's degree

Master's degree

Tools

AWS Cloud Stack

TensorFlow

PyTorch

scikit-learn

Git

Job description

About the Role:

Grade Level (for internal use):

Job 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, andmake 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:

• 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 andengaged 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.

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 [e-mail] and your request will be forwarded to the appropriate person.

US Candidates Only: Know Your Rights: Workplace discrimination is illegal

Location: Gurgaon, Haryana, India