Machine Learning Engineer, NLP – Contract

Posted 3 days ago

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About the role

  • Machine Learning Engineer specializing in Natural Language Processing for AI-driven solutions at Cloudacio. Developing advanced NLP solutions with a focus on client needs and collaboration.

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.

Requirements

  • 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.
  • 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.
  • Entrepreneurial Spirit: 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.

Job type

Contract

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Associate's Degree

Tech skills

AWSAzureCloudGoogle Cloud PlatformPyTorchTensorflow

Location requirements

RemoteWorldwide

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