The Role
The AI Specialist will develop data pipelines, build predictive models and machine-learning algorithms, and implement generative AI models. Responsibilities include conducting research on AI techniques and collaborating with teams to design and deploy AI solutions.
Summary Generated by Built In
Responsibility
- Develop data pipeline to process and analyse large amounts of information and prepare training datasets
- Build predictive models and machine-learning algorithms, discover trends and patterns
- Develop and implement generative AI models to address real-world challenges across various domains, including natural language processing, image, video and voice generation
- Conduct research on emerging generative AI techniques and algorithms
- Collaborate with cross-functional teams to design and deploy AI solutions
Requirement
- Experience in ML modeling techniques, supervised/unsupervised learning, deep learning frameworks, and generative AI, and NLP
- Experience with prompt engineering, prompt optimization, and multimodal generative AI
- Strong programming skills in Python and Unix/PowerShell scripting
- Experience with cloud computing platforms AI technologies such as AWS, GCP or Azure
- Experience in using LLMs such as Hugging Face ML models, GPT, Claude, etc
- Stay updated with the latest advancements in AI Technologies
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Top Skills
Python
The Company
What We Do
Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. Crypto.com serves over 10 million customers today, with the world’s fastest growing crypto app, along with the Crypto.com Visa Card — the world’s most widely available crypto card, the Crypto.com Exchange and Crypto.com DeFi Wallet.
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