
Cloudacio is hiring: Machine Learning Engineer in NLP (Contract) - Remote in New
Cloudacio, New York, NY, United States
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.
Role Overview
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, your role 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.
Key Responsibilities
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.
What We Offer
Flexible work arrangements to accommodate project needs and personal preferences.
Growth potential in a dynamic environment focusing on AI and cloud technologies.
A culture that values innovation, communication, and proactive problem-solving.
Opportunity to work on innovative projects with significant real-world impact.
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In Summary: 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 . Your role will be pivotal in project success and delivering client-focused AI solutions .
En Español:
Cloudacio está a la vanguardia de la tecnología en nube, innovando soluciones avanzadas y impulsadas por IA para revolucionar la forma en que las empresas aprovechan la nube. Nuestros valores fundamentales giran alrededor de una innovación implacable, excelencia técnica y un compromiso firme con ofrecer servicios de nube de última generación. Abrazando una filosofía de trabajo remota y flexible, ofrecemos a nuestro equipo la libertad de colaborar e innovar desde cualquier lugar del mundo. Se requiere disponibilidad para reuniones de clientes programadas y capacidad de respuesta en Slack durante las horas laborales EST. Responsabilidades clave Desarrollar e implementar soluciones NLP con un enfoque en LLM y análisis semántico. Asistir a reuniones del cliente, ofreciendo soporte pre-venta y conocimientos técnicos centrados en la NLP. Responsividad a través de Slack en el horario comercial EST. Participar en roles orientadas al cliente, convirtiendo las necesidades empresariales en sólidas soluciones nLP. Colaborar con equipos interfuncionales para integrar tecnologías NLP en soluciones más amplias de AI. Mantenerse actualizado con los últimos desarrollos de NLP, mejorando continuamente nuestras ofertas. Core Skills & Technologies NLP y experiencia LLMills: Conocimiento profundo de los modelos de inicio y desarrollo de datos NLP (por ejemplo, Tensor APT-4, LLP-2), ¿Cómo resolver las competencias personales de AWS, TRAT5, GCPRE?