Senior AI Engineer Portugal

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At Allia Health Group, the umbrella organization for Southend Pharmacy, Brello Health, and Woven, we don’t just follow industry trends—we redefine them. Our mission is to commoditize
- aging solutions, making them affordable and accessible to the average consumer—not just the wealthy. By offering customized and
- effective wellness products that follow
- containment models, we aim to improve people’s quality of life and meet them wherever they are on their health journey.

Working in Madeira in a shared office space, remote in Portugal, or remote in a Portuguese time
- friendly location

Job Summary

The Senior AI Engineer will be a key contributor to advancing Allia Health Group’s AI and automation strategy. Reporting initially to the CTO and later to the Director of AI, this role will focus on designing, developing, and deploying advanced AI/ML solutions that improve efficiency,
- making, and automation across the business. The role requires
- on technical expertise combined with the ability to collaborate across teams and translate business needs into impactful AI solutions.

Key Responsibilities

• Design, build, and deploy machine learning models and AI solutions for production environments
• Collaborate with product, data, and engineering teams to identify opportunities for AI-driven innovation
• Develop scalable AI pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment
• Contribute to the design and optimization of Allia’s AI stack, leveraging Google Cloud’s Vertex AI
• Monitor and maintain AI systems to ensure performance, accuracy, and fairness
• Research and apply
  - edge AI techniques (e. g. , deep learning, NLP, computer vision, LLMs) where applicable
• Mentor junior engineers and contribute to the definition of best practices in AI engineering

Required Qualifications

• Ideal Degree(s): BSc or MSc in Computer Science, AI, Machine Learning, or a related field
• Experience: 4–7 years in AI/ML engineering roles
• Strong proficiency with machine learning frameworks (Tensor
  Flow, Py
  Torch, or equivalent)
• Hands-on experience with MLOps tools and practices (e. g. , model lifecycle management, CI/CD for ML)
• Proficiency in Python and common ML libraries (scikit-learn, pandas, Num
  Py)
• Experience deploying models to production using containerization (Docker, Kubernetes)
• Familiarity with cloud AI platforms, preferably Google Cloud Vertex AI (AWS/Azure acceptable)
• Understanding of data preprocessing, feature engineering, and model evaluation techniques
• Solid knowledge of version control, testing, and collaborative software development practices

Preferred Qualifications

• Preferred: Google Cloud; Looker; Vertex AI; Ui
  Path; N8N; CI/CD with Git
  Hub & Google Cloud; React; Postgre
  SQL; Docker; Kubernetes; and other
  - adjacent tools. Candidates with AWS experience are welcome but Google Cloud is preferred

Physical Requirements

• Working in Madeira in a shared office space, remote in Portugal, or remote in a Portuguese time
  - friendly location
• Flexibility to shift portions of the day to increase time zone overlap with US CST time zone

Equal Opportunity Employer Statement

Allia Health Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you have any questions or require accommodations during the application process, please contact hr@alliahealth. co.

What We Offer

• Opportunity to lead impactful operational projects in a growing company
• A dynamic and collaborative work environment

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Pharmaceutical Manufacturing and Hospitals and Health Care

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