Machine Learning Engineer in NLP Contract - Remote 8

About Cloudacio Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.

As a Machine Learning Engineer specializing in Natural Language Processing (NLP) at Cloudacio, you will develop and refine advanced solutions in language understanding, text generation, and semantic analysis. Working with Large Language Models (LLMs) and the latest NLP technologies,

will be pivotal in project success and delivering client-focused AI solutions. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.

Develop and implement NLP solutions with a focus on LLMs and semantic analysis. Attend client meetings, offering pre-sales support and NLP-focused technical insights. Responsiveness via Slack during EST business hours. Engage in client-facing roles, translating business needs into robust NLP solutions. Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions. Stay updated with the latest NLP developments, enhancing our offerings continuously. Core Skills & Technologies NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT. Deep Learning and Frameworks: Strong proficiency in TensorFlow and PyTorch for developing complex NLP models. Data Handling: Skilled in data annotation and preprocessing for large NLP datasets. Cloud Platforms: Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions. Excellent English communication skills for client-facing roles and technical discussions. Consulting Experience: Previous consulting or startup environment experience. Entrepreneurial Spirit: Ability to independently handle customer interactions and lead projects.