Site Reliability Engineer ensuring smooth operations for banking systems at GFT. Working on production system access, deployment, and observability in AWS and Kubernetes environments.
About the role
- Intern working on AI development and deployment in a fast-paced VC environment. Engaging with tech communities and analyzing AI trends.
Responsibilities
- Conduct research on emerging AI technologies, trends, and market dynamics.
- Analyze the technical feasibility and innovation potential of AI-driven startups.
- Build and implement AI models/tools to help make our organization more efficient.
- Engage with AI communities, startups, and industry experts to stay ahead of the latest advancements.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Cognitive Science, Artificial Intelligence, Machine Learning, Data Science, or a related engineering field.
- Strong understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), AI model architectures, and can quickly adapt and incorporate a diverse range of REST APIs.
- Experience with Python, data analysis, and AI/ML tools.
- Ability to analyze technical research papers and translate findings into actionable insights.
- Excellent written and verbal communication skills, with the ability to synthesize complex technical concepts for a non-technical audience.
- Interest in venture capital, startups, and AI-driven businesses.
Benefits
- Hybrid work - required to be in office 2-3 days/week
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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