Associate I AI Engineer

1 week ago

Gurgaon, Haryana, India S&P Global Market Intelligence Full time
Job Description

Responsibilities:

- 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.

What Were Looking For:

- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Technical Skills:
- 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.

Soft Skills:

- 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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