Crypto Banter

CTO AI - Banter

About Crypto Banter

We are the World’s No.1 LIVE Crypto Streaming Channel. Covering Bitcoin, Breaking news, hottest stories, Altcoins, top Founders and Billionaires’ next big Market Moves, every single day.

We are the fastest growing crypto media business in the world. What started with two enthusiasts streaming crypto content from a coffee shop, has now become a consortium of the most influential media channels for live crypto news, trading, investing, web3 and crypto gaming content, working with the biggest advertising partners, affiliates and paid products or services in the industry.

The idea was born off the back of a successful career at CNBC global having started the world’s first televised daily crypto news show. The restrictions of legacy and corporate media led to the idea of pursuing a media venture that is now at the forefront of the media 2.0 movement for tech, finance and crypto.

Today we have over 80 employees and create content that accrues over 10M monthly views across our network of channels. We are hungrier than ever before, driven by a mission of achieving the impossible and building the most profitable community in the world along the way.

We are a group of enthusiasts, misfits and entrepreneurs that work harder than anyone else in the industry, fueled by passion and obsession for what we love to do. If you feel you are aligned with our core values, work hard, love what you do and know how to consistently provide value - WE NEED YOU!

Role Overview

We are in search of an experienced leader, strategist and learner within the AI and Machine Learning space; with a strong background in the field of Applied Mathematics, and a passion for Crypto! The ideal candidate will have the hands-on experience and knowledge needed to build and fine-tune LLM, contributing to the next generation of our AI solutions.

Key Responsibilities

• Manage the design process and development process, as well as fine-tune machine learning models, particularly LLMs and predictive models.
• Manage the building of robust training datasets for LLMs & Predictive models and implement strategies for efficient data augmentation and preprocessing.
• Utilize HuggingFace, GCP VertexAI, Llama3, and Gemini in model development and deployment
• Collaborate with the data engineering team to streamline data pipelines for machine learning applications.
• Continuously monitor the performance of models in production, ensuring optimal performance and minimal drift.
• Communicate technical details and project progress to both technical and non-technical stakeholders.
• Stay updated with the latest research and trends in machine learning and incorporate relevant findings into ongoing projects.
• Grow and lead a team of ML and AI engineers to build out the strategy and vision.
• Implement an AI strategy across the business that covers all aspects of an AI integration
  
  

Minimum Qualifications

• Master's or advanced degree in Engineering/Technology or Applied Mathematics.
• Minimum of 10 years of hands-on experience in Python programming related to machine learning and data analysis.
• Proven experience with key machine learning libraries and platforms such as HuggingFace, GCP VertexAI, Llama3, Gemini, CrewAI, Lang Chain, ⁠Docker, PHP, Laravel and Python.
• Solid understanding of building and fine-tuning LLMs
• Retrieval-Augmented Generation (RAG)
• Experience with vector databases.
• Experience in constructing appropriate training datasets.
• Excellent problem-solving skills and ability to innovate on existing machine learning techniques.
  
  

Desired Skills And Attributes

• Problem solving skills and self-motivated.
• Experience with Docker and PHP and engineering background; strong with Data and AI
• Strong communication skills, both written and verbal, with the ability to present complex ideas in a clear and comprehensible manner.
• High attention to detail, with a focus on delivering high-quality code and models.
• Ability to work collaboratively in a team setting, as well as autonomously on individual projects.
• Familiarity with version control systems, preferably Git.
• Knowledge of cloud platforms, containerization, and orchestration tools will be necessary.
• An understanding of model interpretability and techniques.
• Grit and Determination
• Management experience