Machine Learning Engineer - NLP

March 29

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Cloudacio

Cloudacio is a leading company in cloud technology, focusing on pioneering advanced, AI-driven solutions that transform business practices related to cloud services. With a commitment to remote work, Cloudacio offers job opportunities for top talent in the cloud industry, including roles in data engineering and machine learning. The company emphasizes innovation and excellence in leveraging cloud capabilities for enhanced business outcomes.

DevOps • AWS • Cloud • Well Architected Framework • Cloud Operations

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• 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. • 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.

🎯 Requirements

• Proficiency in English for effective communication with clients. • Availability for scheduled client meetings and responsiveness on Slack during EST business hours. • Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT. • Strong proficiency in TensorFlow and PyTorch for developing complex NLP models. • Skilled in data annotation and preprocessing for large NLP datasets. • Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions. • Previous consulting or startup environment experience. • Ability to independently handle customer interactions and lead projects.

🏖️ Benefits

• 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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