Machine Learning Engineer

Jobtailor; Matosinhos; Presencial; EUR 42 000 - 70 000; Tempo integral

Resumo da oferta

Jobtailor is seeking an ML Engineer to design and deploy AI-powered features for healthcare workflows. You will collaborate with Data Engineering, Product, and Clinical teams across experimentation, evaluation, deployment, and monitoring to ship reliable ML solutions.

You will work on prompt engineering, RAG, fine-tuning, and production-ready workflows, translating research advances into practical product features while communicating effectively with non-technical stakeholders.

Qualificações

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Physics, or related field.
• 2+ years of professional experience as an ML engineer, applied researcher, or software engineer focused on ML systems.
• Experience taking applied ML initiatives from experimentation and prototyping through evaluation, deployment, and production iteration.
• Strong foundations in machine learning, including generative AI.
• Experience deploying ML/AI services in a cloud environment.
• Ability to communicate technical concepts to non-technical stakeholders.

Responsabilidades

• Build, maintain, and monitor ML-powered features impacting the platform and healthcare workflows
• Work with Data Engineering, Product, and Clinical teams from experimentation and evaluation through deployment, monitoring, and continuous improvement
• Design, build, evaluate, ship, and improve products through AI/ML development
• Implement AI/ML-powered features with Product, Data, and Engineering teams
• Develop initiatives across prompt engineering, RAG, fine-tuning, and agentic workflows; prototype and push solutions to production
• Collaborate with Data Engineering to develop datasets for building and evaluating models
• Read health AI research and translate advancements into product features

Conhecimentos

Machine Learning

Generative AI

Prompt Engineering

Model Evaluation

Prototyping

Technical Communication

Collaboration

Communication

Formação académica

Bachelor's Degree

Master’s Degree

Descrição da oferta de emprego

• Build, maintain, and monitor ML-powered features impacting the platform and healthcare workflows
• Work with Data Engineering, Product, and Clinical teams from experimentation and evaluation through deployment, monitoring, and continuous improvement
• Design, build, evaluate, ship, and improve products through AI/ML development
• Implement AI/ML-powered features with Product, Data, and Engineering teams
• Develop initiatives across prompt engineering, RAG, fine-tuning, and agentic workflows; prototype and push solutions to production
• Collaborate with Data Engineering to develop datasets for building and evaluating models
• Read health AI research and translate advancements into product features

Requirements

• Bachelor's or Master’s Degree in Computer Science, Data Science, Mathematics, Physics, or a related field
• 2+ years of professional experience as an ML engineer, applied researcher, or software engineer focused on ML systems
• Experience taking applied ML initiatives from experimentation and prototyping through evaluation, deployment, and production iteration
• Strong foundations in machine learning, including generative AI
• Experience deploying ML/AI services in a cloud environment
• Ability to communicate technical concepts to non-technical stakeholders

Core Competencies

Demonstrates expertise in Machine Learning and AI/ML development, with a strong focus on deploying ML-powered features in healthcare workflows. Proficient in collaborating with cross-functional teams to translate research advancements into practical product features.

Highest-signal resume keywords

• Machine Learning
• AI/ML Development
• Cloud Environment Deployment
• Data Engineering Collaboration
• Technical Communication

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Generative AI
• Prompt Engineering
• Model Evaluation
• Prototyping
• Production Iteration
• Data Science
• Mathematics
• Physics

Soft Skills

• Collaboration
• Communication

Certifications & Qualifications

• Bachelor's Degree
• Master’s Degree

Industry Keywords

• Healthcare Workflows
• AI Research
• ML Systems