Position: Senior NLP Engineer (Equity Based)
Location: Remote
Category: Flexible, Part-time (20 hours) to Full-time (40 hours)
Compensation: Fair Market Value, Equity-Based Compensation Model
Welcome to the forefront of transformational change. At SOULCHI, we are driven by a vision that blends virtues-based leadership, conscious growth, and a commitment to the United Nations Sustainable Development Goals. As an equity-based startup team member, you’re not just joining a team; you’re embarking on a journey to shape a more harmonious and sustainable world. We believe that true progress stems from the fusion of innovation and values, and that’s exactly what you’ll find here – a dynamic environment where your talents will thrive, your ideas will flourish, and your impact will resonate far beyond. Join us in rewriting the narrative of leadership and making a lasting difference that echoes through generations.

Requirements:

• Strong experience with machine learning models and fine-tuning large language models (LLMs).
• Proficiency with cloud platforms, particularly Google Cloud (Vertex AI, cloud compute, storage).
• Knowledge of AI/ML tools and frameworks, especially in natural language processing (NLP).
• Familiarity with API integrations and cloud resource management.
• Strong problem-solving skills and the ability to work independently.
• Effective communication skills for technical and non-technical team collaboration.
• Past experience building personalized AI systems would be helpful.
• Familiarity with cost optimization strategies for cloud-based AI services is a plus

ROLE OVERVIEW:

We are seeking a Senior NLP Engineer to help implement a language model-based solution for an innovative application. The role involves working with machine learning models, managing cloud infrastructure, and optimizing API integrations to deliver a scalable and effective user experience. The candidate will contribute to the development and fine-tuning of the model to ensure high performance and cost-efficiency.

RESPONSIBILITIES:

• Fine-tune and optimize large language models to improve user interactions.
• Implement and maintain API integrations for seamless communication with the model.
• Optimize model training processes to reduce time and cost.
• Manage and monitor cloud infrastructure (Google Cloud Platform) for compute and storage needs.
• Collaborate with stakeholders to refine user experience and system performance.

Requirements:

• Strong experience with machine learning models and fine-tuning large language models (LLMs).
• Proficiency with cloud platforms, particularly Google Cloud (Vertex AI, cloud compute, storage).
• Knowledge of AI/ML tools and frameworks, especially in natural language processing (NLP).
• Familiarity with API integrations and cloud resource management.
• Strong problem-solving skills and the ability to work independently.
• Effective communication skills for technical and non-technical team collaboration.
• Past experience building personalized AI systems would be helpful.
• Familiarity with cost optimization strategies for cloud-based AI services is a plus.