5 дней назад
Sr Machine Learning Engineer (GenAI)
51 065 - 69 088€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Machine Learning Engineer (GenAI): Building and scaling end-to-end machine-learning and generative-AI platforms for enterprise model development, deployment, and monitoring with an accent on MLOps pipelines, production microservices, and responsible-AI controls. Focus on optimizing model performance and cloud costs, integrating LLM/RAG tooling, and designing secure, observable AI services for global practitioner teams.
Location: Lisbon, Portugal; office-based role
Salary: €51,065.45–€69,088.55 per year
Company
is a healthcare and biotechnology company using innovation and technology to serve patients.
What you will do
- Engineer end-to-end machine-learning pipelines covering ingestion, feature engineering, training, optimization, evaluation, registration, and automated promotion.
- Convert research code into production microservices using Docker and Kubernetes, exposing secure REST, gRPC, or event-driven APIs.
- Build full-stack AI applications by integrating model services with user interfaces, workflow engines, and business logic.
- Optimize algorithms, GPU/CPU autoscaling, latency, and cloud costs to meet strict SLA targets.
- Implement observability, drift and bias detection, data lineage, explainability, encryption, and access controls.
- Partner with data scientists, DevOps, Security, Privacy, Compliance, and Product teams while developing reusable platform components and technical standards.
Requirements
- 3–5 years of experience in AI/ML and enterprise software, alongside the stated education-based experience requirements.
- Strong knowledge of regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep learning, transformers, LLMs, and RAG.
- Experience selecting AI SaaS/PaaS solutions and building custom machine-learning services at scale.
- Expertise with vector databases, RAG pipelines, prompt-engineering DSLs, and agent frameworks such as LangChain or Semantic Kernel.
- Proficiency in Python and Java, Docker/Kubernetes, cloud platforms, and DevOps/MLOps tools including GitHub Actions and SageMaker Pipelines.
- Ability to evaluate TCO versus NPV, communicate technical trade-offs to executives, and manage stakeholders effectively.
Nice to have
- Biotechnology or pharmaceutical industry experience.
- Thought-leadership publications or conference talks on enterprise GenAI adoption.
- Master’s degree in computer science or data science.
- Agile or SAFe experience and GenAI/ML platform certifications.
Culture & Benefits
- Join the Capability Center Portugal, with more than 500 employees across over 30 functions and 40 nationalities.
- Collaborate with global, virtual teams across data, technology, cybersecurity, R&D operations, finance, and other functions.
- Work in a Lisbon office focused on innovation, excellence, and healthcare impact.
- Equal-opportunity employment with reasonable accommodations available for candidates with disabilities.
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