S&P Global enable governments, businesses and individuals with the right data, expertise and connected technology so that they can make decisions with conviction.
S&P Global looking for fresher graduates with good programming skills, having good financial and alternative data Quantitative skills in data engineering, data science, machine learning, statistics and/or econometrics for Software Engineer – AI Engineer role.
Job Designation : Software Engineer – AI Engineer
Qualification : BTech/MTech
Experience : Freshers
kill Set :
- 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
Job Description :
- 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.
Location: Gurgaon, India
