About the Role:

Grade Level (for internal use):

The Team: The Foreseer team delivers digital transformation solutions for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects all powered by a core distributed cloud native auto scalable framework. Team comprises of experts in Java and Python language and ML engineers.

Job Brief

We are looking for a Machine Learning Engineer to help us improve our AI products and create new ML applications.

ML Engineer responsibilities include transforming data into useful features using machine learning techniques to feed predictive algorithms. To succeed in this role you should possess outstanding skills in statistical analysis machine learning methods and feature engineering techniques.

Your goal is to develop efficient self-learning AI applications.

Responsibilities

• Study and transform data science prototypes
• Design AI/ML applications
• Leverage large language models and vision language models for information retrieval
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective feature engineering to transform raw data into useful features
• Find and implement the right algorithms and tools for ML tasks
• Develop ML systems according to requirements
• Train the developed model and run evaluation experiments
• Integrate the models in application flow and deploy at scale
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in various ML tasks
• Remain updated in the rapidly changing field of machine learning

Requirements and Skills

• BS or MS degree in Computer Science AI/ML Data Science or related field.
• 6 Years hands on experience in AI/ML Data Science.
• Knowledge of Python and related libraries.
• Ability to effectively write robust and testable code and design software architecture.
• Understanding of ML techniques for feature engineering data preprocessing data structures and modelling.
• Strong understanding of AI technologies (e.g. Generative AI NLP Computer Vision) and their business applications.
• Hands on experience in leveraging language models for information retrieval.
• Deep understanding of feature engineering techniques statistics and machine learning algorithms (such as regression classification clustering neural networks etc.)
• Familiarity with AI platforms (e.g. TensorFlow PyTorch) libraries (like scikit-learn) and cloud AI services (AWS GCP Azure).
• Experience in different data base technologies (like RDBMS NOSQL)
• Experience in Containerization cloud platforms CI/CD and deployments through CI/CD pipelines and AWS services like S3 EKS EC2 etc.
• Proficiency in the development environment including IDE web & application server GIT Azure DevOps unit-testing tool and defect management tools
• Strong communication skills
• An analytical mind with problem-solving abilities

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were 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 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. Were 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 worlds 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed 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: Its 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 awardssmall perks can make a big difference.

For more information on benefits by country visit: 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.

Recruitment Fraud Alert:

If you receive an email from a domain or any other regionally based domains it is a scam and should be reported to. 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 activityhere.

Required Experience:

Senior IC