[Hiring] ML/NLP Engineer @Nordhealth
Feb 17, 2025 - Nordhealth is hiring a remote ML/NLP Engineer. 💸 Salary: unspecified. 📍Location: Europe.
Role Description
Are you an AI engineer eager to work on meaningful projects with real-world impact? Do you thrive in a flexible, remote-first environment? Join our team at Provet Cloud, where we're developing cutting-edge AI solutions that streamline veterinary workflows and enhance patient care. We are looking for an ML/NLP Engineer to help us build AI-driven tools for patient history summarization, discharge notes, and medical transcriptions.
This is a fully remote role, offering autonomy, collaboration, and the opportunity to work with a global team of professionals who are passionate about AI and its applications in healthcare.
Your key responsibilities include:
- Develop and optimize AI models for extracting clinical insights from veterinary records, including discharge notes, patient history, and transcriptions.
- Lead the early development of our AI group, helping define strategies, tools, and methodologies to build a strong AI foundation.
- Research and evaluate third-party AI services (e.g., AWS Bedrock, Google Cloud AI, OpenAI) for potential integration into Provet Cloud.
- Build proof-of-concepts (POCs) to assess third-party AI services against in-house models, optimizing for performance, scalability, and accuracy.
- Deploy AI/NLP solutions using Python, ensuring seamless API integrations with cloud-based systems.
- Collaborate with product managers, engineers, and veterinary professionals to enhance AI-driven workflows and improve user experience.
- Establish AI best practices within the team, helping guide future AI development across Provet Cloud.
Qualifications
- Strong Foundations in Machine Learning & Deep Learning
- Expertise in Natural Language Processing (NLP)
- Strong Programming & Software Engineering Skills
- Data Handling & Preprocessing
- Research & Continuous Learning
- Communication & Collaboration
Requirements
- Strong understanding of Machine Learning (ML) and Deep Learning (DL) concepts, including supervised/unsupervised learning, reinforcement learning, and neural networks.
- Expertise in Natural Language Processing (NLP) techniques such as tokenization, embeddings, attention mechanisms, and sequence modeling.
- Proficiency in transformer-based models (BERT, GPT, T5, LLaMA) and fine-tuning large language models (LLMs).
- Solid programming skills in Python (NumPy, Pandas, Scikit-learn) and ML frameworks such as TensorFlow, PyTorch, or JAX.
- Experience in cloud platforms (AWS, GCP, Azure) and working with ML pipelines (Kubeflow, MLflow).
- Strong data processing skills, including text preprocessing, feature engineering, and large-scale data handling using Spark, Dask, or Ray.
- Understanding of MLOps, including model deployment, monitoring, A/B testing, and drift detection.
- Knowledge of vector databases, retrieval-augmented generation (RAG), and fine-tuning pre-trained models for production applications.
- Familiarity with bias mitigation, ethical AI principles, and regulatory frameworks (GDPR, CCPA).
- Strong problem-solving mindset, ability to innovate, and continuously learn new advancements in AI.
Benefits
- The chance to work in a meaningful industry and in a fast-growing, global company on a path to changing digital healthcare.
- Competitive compensation and benefits.
- Learning and professional growth opportunities.
- The tools you need, and enjoy using.
- Frequent company events and talented colleagues from around the world.
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| 📍 | Be aware of the location restriction for this remote position: Europe |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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Salary
💸
unspecified
|
Remote
Location
Europe
|
|
Job Type
unspecified
|
Posted
Feb 17, 2025
|
| 📍 | Be aware of the location restriction for this remote position: Europe |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
