S&P Global Jobs 2025 Hiring Freshers : S&P Global Jobs 2025 Hiring Freshers For Software Engineer – AI Engineer.Any Graduate Candidates Required to Apply or Eligible For this Post.More Details Related S&P Global Jobs 2025 Latest Hiring and Apply Link and More Job Related details see below.
Before Checking the Complete Job Description For the Role of Software Engineer – AI Engineer For Freshers in S&P Global.
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S&P Global Jobs 2025 For Software Engineer – AI Engineer. :
Name of the Company : S&P Global
Official Website : www.spglobal.com
Job Role : Software Engineer – AI Engineer
Education Qualification : Any Graduate
Experience : Freshers
Salary Details : 10.00 LPA (Expected)
Job Location : Gurugram
Apply Mode : Online
Last Date : Apply Now ASAP.
General Summary of Job Details :
S&P Global is hiring for the role AI Engineer!
Responsibilities of the Candidate:
Develop and implement machine learning models: Design, build, and train traditional machine learning models (e.g., regression, classification, clustering) for tasks such as risk assessment, fraud detection, trade prediction, and operational efficiency.
Explore and apply generative AI techniques: Research, experiment with, and implement generative AI models (e.g., transformers, large language models) for applications like data augmentation, synthetic data generation, anomaly detection, and natural language processing in financial contexts.
Collaborate on AI solutions: Work closely with experienced AI engineers, data scientists, and software developers to integrate AI models into Osttra’s existing systems and build new AI-powered applications.
Contribute to software development: Participate in the full software development lifecycle, including design, coding, testing, and deployment, adhering to best practices and industry standards.
Analyze and interpret data: Analyze large datasets, identify patterns and trends, and derive insights to inform model development and business decisions.
Stay current with AI advancements: Continuously learn and keep abreast of the latest research and trends in both traditional machine learning and generative AI.
Communicate effectively: Clearly communicate technical concepts and findings to both technical and non-technical audiences.
Requirements:
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong understanding of fundamental AI/ML concepts (e.g., supervised/unsupervised learning, deep learning, natural language processing).
Experience with Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Familiarity with generative AI models and frameworks (e.g., transformers, GPT).
Proficiency in software engineering principles and practices.
Knowledge of data structures, algorithms, and databases.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
Ability to work independently and as part of a team
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