Chief AI Architect
16 hours ago
Job Overview:
Languagewire A/S is seeking a seasoned Senior Machine Learning Engineer to spearhead our AI/NLP initiatives.
About the Role:
We are looking for an experienced leader with expertise in product and API development to lead our team of engineers in leveraging advanced AI and NLP technologies.
The successful candidate will play a key role in ensuring that our AI innovations are integrated into intuitive products and made available through reliable and robust APIs, significantly benefiting our customers.
Responsibilities:
- Oversee a talented team of 5-6 engineers with expertise in machine learning, NLP, full-stack development, AI applications, quality assurance, and product management.
- Steer the technical direction in AI and NLP, establishing objectives for your team, fostering their career advancement, offering mentorship, and guiding them through resolving intricate challenges.
- Be the technical authority and product visionary, ensuring our machine learning and AI capabilities are seamlessly integrated into products and exposed through powerful APIs.
- Advocate for the 'you build it, you run it' philosophy to promote a culture of end-to-end ownership and continuous improvement.
- Apply a data-driven approach to decision-making, utilizing metrics and feedback to guide product development and API strategy.
- Guarantee that our machine translation and next-gen AI services are not only innovative but also reliable, scalable, available, and speedily delivered to meet the demands of clients.
Requirements:
- 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, Cloud Platforms (Azure, AWS, Google Cloud), Data Management (SQL/NoSQL), Data Lakes/Data Warehousing (Amazon S3, Redshift, Google BigQuery).
Preferred Qualifications:
- Experience with LLMs and tuning techniques like QLORA, DPO etc.
- Staying updated with the latest developments in the AI community.
Compensation:
We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience.
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