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MACHINE LEARNING ENGINEER (HYBRID)
Portuguese company hires for remote/hybrid work
CANDIDATES MUST LIVE IN LISBON/PORTUGAL
Language Requirements: English (C1/C2)
Working Model: Hybrid (3x per week in the office)
Location: Lisbon - Portugal
Instructions: Please submit your resume in English and include all skills and experience that meet the requirements of the position. This will significantly increase your chances of success.
We are looking for a highly skilled Machine Learning Engineer to join our team and help design, develop, and optimize AI and analytics solutions. The ideal candidate has extensive experience in MLOps, cloud platforms (Google Cloud Platform), and infrastructure as code (Terraform), with a strong background in Python, SQL, and Data Engineering principles.
Responsibilities
Portuguese company hires for remote/hybrid work
CANDIDATES MUST LIVE IN LISBON/PORTUGAL
Language Requirements: English (C1/C2)
Working Model: Hybrid (3x per week in the office)
Location: Lisbon - Portugal
Instructions: Please submit your resume in English and include all skills and experience that meet the requirements of the position. This will significantly increase your chances of success.
We are looking for a highly skilled Machine Learning Engineer to join our team and help design, develop, and optimize AI and analytics solutions. The ideal candidate has extensive experience in MLOps, cloud platforms (Google Cloud Platform), and infrastructure as code (Terraform), with a strong background in Python, SQL, and Data Engineering principles.
Responsibilities
- Design, develop, and optimize key components of the analytics and machine learning platform, including infrastructure modules, reusable components for AI/Analytics applications, and architectural templates.
- Deploy, maintain, and continuously enhance AI and analytics solutions on Google Cloud Platform (GCP), ensuring efficiency and scalability.
- Oversee infrastructure management with a strong focus on reliability, security, and scalability.
- Collaborate closely with Analytics Engineers, Data Scientists, Infrastructure Engineers, and Data Engineers to ensure seamless project delivery and implementation.
- Bachelor’s degree in Engineering, Data Science, or a related field, or equivalent professional experience.
- 8+ years of experience as a Machine Learning Engineer.
- Proficiency in Python and SQL, with 5+ years of hands-on experience.
- 3–5+ years of practical experience in MLOps.
- 3+ years of professional experience working with Google Cloud Platform (GCP).
- Hands-on experience with Infrastructure as Code (IaC), preferably using Terraform.
- Strong understanding of Data Engineering principles.
- Knowledge of REST APIs and microservices architecture.
- Experience with Vertex AI and DBT is a plus.
- Fluency in English (mandatory).
Key Skills
Ranked by relevance
machine learning
cloud
google cloud platform
ai
infrastructure as code
python
sql
microservices
terraform
mlops
gcp
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- Posted
- Mar 14, 2025
- Type
- Other
- Level
- Not Applicable
- Location
- Lisboa
- Company
- iTRecruiter
Industries
Human Resources
Categories
Other
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