AI Engineer (Language Model Fine-Tuning)

Seeking an experienced AI Engineer to join our dynamic team. In this role, you will be pivotal in fine-tuning open-source language models to develop sophisticated internal tools. These tools will aid in generating marketing content, optimizing business development strategies, managing CRM tooling, and compiling information efficiently. If you are passionate about leveraging AI to create impactful tools and improve operational efficiencies, and if you have a strong background in AI, machine learning, and natural language processing, we would love to hear from you.

Responsibilities:

• AI Model Fine-Tuning: Fine-tune open-source language models for applications including marketing content generation, business development optimization, CRM management, and information compilation.
• Cross-functional Collaboration: Work closely with teams across the company to identify AI-driven solutions that enhance business processes and contribute to strategic goals.
• Innovation and Research: Stay abreast of the latest developments in AI, machine learning, and NLP to drive innovation within our tooling and product offerings.
• Data Analysis and Model Training: Collaborate with the data science team to preprocess data, train models, and implement algorithms, ensuring the highest standards of accuracy and efficiency.
• Compliance and Documentation: Ensure all AI solutions comply with relevant data protection policies and document development processes and outcomes for internal and external stakeholders.

Requirements:

• Required Experience: At least 3 years of experience in AI engineering, specifically with experience in fine-tuning language models and developing NLP applications.
• Technical Proficiency: Expertise in Rust, Python, TensorFlow or PyTorch, NLP, and text generation models (e.g., GPT, BERT). Familiarity with cloud services (AWS, Google Cloud, Azure) is a plus.
• Innovative Thinking: A strong capability for innovative thinking and the ability to apply AI in solving complex business challenges.
• Collaborative Skills: Exceptional collaboration skills, with an ability to work effectively across different teams and disciplines.
• Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.