AI Technical Director

7 days ago

Frederiksberg, Frederiksberg Kommune, Denmark LanguageWire AS Full time
Role Overview

We are seeking a seasoned AI technical director to spearhead our AI/NLP initiatives and drive the development of innovative machine learning solutions.

About the Role
  • Leverage advanced AI and NLP technologies to enhance our product offerings and expand our capabilities, both for internal and external use.
  • Provide technical leadership and be responsible for adjacent services and developing the next generation of neural models for machine translation and content generation.
The Team You'll Be Part Of

You will join a dynamic, cross-functional team at the forefront of AI and NLP technology, dedicated to revolutionizing language services. As a key member, you will collaborate closely with Full-Stack Engineers, QA Engineers, Machine Learning Engineers, Data Engineers, and report to the Director of Machine Learning.

Key Responsibilities
  1. Oversee a talented team of 5-6 engineers with expertise in machine learning, NLP, full-stack development, AI applications, quality assurance, and product management.
  2. Steer the technical direction in AI and NLP, establish objectives for your team, foster their career advancement, offer mentorship, and guide them through resolving intricate challenges.
  3. Be the technical authority and product visionary, ensuring our machine learning and AI capabilities are seamlessly integrated into products and exposed through powerful APIs.
  4. Apply a data-driven approach to decision-making, utilizing metrics and feedback to guide product development and API strategy.
  5. Lead the charge in engineering groundbreaking AI solutions, pushing the boundaries of what's possible in the language industry.
Desired Experience and Competencies
  • Expert Knowledge in Python and especially using frameworks like Huggingface Transformers, TensorFlow or PyTorch, Scikit-learn.
  • Experience with neural models based on Transformer architectures.
  • Expert Knowledge in JavaScript/TypeScript for full-stack development and interaction with APIs on the front end.
  • API Development: RESTful API principles, understanding how to design stateless, secure, and scalable APIs.
  • Expertise in MLOps Tools - Docker, Kubernetes, CI/CD Tools (e.g., Jenkins, GitLab CI, GitHub Actions), Terraform.
  • MLflow or Kubeflow: For managing the machine learning lifecycle.
  • Cloud Platforms: Azure, AWS, Google Cloud.
  • Data Management: SQL/NoSQL.
  • Data Lakes/ Data Warehousing: Solutions like Amazon S3, Redshift, or Google BigQuery.
  • Monitoring and Logging: Prometheus, Grafana, or ELK Stack.
  • Security: OAuth, JWT, and other authentication/authorization protocols.
  • Data Visualization and BI Tools: Looker, Tableau, Power BI or similar tools.
  • Agile methodologies and understanding of design workflows and software architecture.

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