Machine Learning Engineer (Senior)

Coimbra , Portugal
Hybrid

AI overview

Develop scalable machine learning products utilizing GCP tools and deploying solutions in microservices architecture while enhancing ML workflows and automation.

PowerTalent: Recruitment, Selection, and Global Outsourcing

PowerTalent stands out for its customized talent solutions. As specialists in recruitment and selection, we streamline complex processes and find the best professionals worldwide.

We offer recruitment, outsourcing, and hybrid solutions, building local, nearshore, or offshore teams according to our clients’ needs.

With PowerTalent, we guarantee complete and efficient solutions, so our clients don’t have to worry about a thing.

About our client

Our client is a global leader in professional services, helping organizations drive digital transformation, optimize operations, and grow sustainably. With a focus on results and a culture of shared success, it supports companies in reinventing their businesses and building long-lasting, trusted relationships.

We are looking for a Machine Learning (ML) Engineer for an international company.

Requirements

  • 5+ years of hands-on experience building scalable ML products.
  • Strong foundation in ML algorithms, ML pipelines, and data transformations.
  • Proficient in Python, SQL, and Design Patterns.
  • Experience deploying ML solutions in microservices architecture in production.
  • 2+ years of experience with GCP tools in ML workflows (Vertex AI, BigQuery, Cloud Composer, Cloud Storage).
  • Proven experience with LangChain ecosystem or other Agentic frameworks, NLP, LLMs, RAGs, and embedding models.
  • Skilled in ML workflow automation/deployment and MLOps.
  • Strong testing mindset (unit, integration, end-to-end) and experience with Docker and Kubernetes.
  • Proficiency in English (minimum B2 level)

Benefits

  • Contract or B2B, its up to you
  • Hybrid Work
  • Continuing education and professional development

Perks & Benefits Extracted with AI

  • Education Stipend: Continuing education and professional development
  • Flexible Work Hours: Contract or B2B, its up to you
  • 4-Day Workweek: Hybrid Work
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