Job Title: GenAI / MLOps Engineer
Location: Lisbon Portugal
Work Regime: Full-time & Hybrid (2x to 3x office days per week)
Overview / Summary:
We are seeking a GenAI / MLOps Engineer to design deploy and maintain machine learning workflows and AI solutions. This role focuses on operationalizing large language models (LLMs) and managing ML infrastructure for scalable and efficient AI applications.
The ideal profissional has hands-on experience with LLMs vector databases prompt engineering MLflow and containerized environments using Docker and Kubernetes.
Responsibilities and Tasks:
- Deploy and manage machine learning models and workflows using MLflow and related tools.
- Work with large language models (LLMs) and implement prompt engineering techniques.
- Manage vector databases (FAISS PGV) to support AI/ML solutions.
- Containerize and orchestrate AI workloads using Docker and Kubernetes.
- Collaborate with data scientists engineers and stakeholders to ensure reliable and scalable AI infrastructure.
- Maintain documentation and best practices for MLops processes.
Requirements
Mandatory Requirements:
- Experience with LLMs vector databases (FAISS PGV) and prompt engineering.
- Experience with MLflow for ML workflow management.
- Strong skills in Docker and Kubernetes for containerized deployments.
- Proven ability to operationalize AI/ML solutions in production.
- English: C1
Benefits
Important:
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
#VisionaryFuture - Build the future join our living ecosystem!
Required Skills:
Experience with LLMs vector databases (FAISS PGV) and prompt engineering. Experience with MLflow for ML workflow management. Strong skills in Docker and Kubernetes for containerized deployments. Proven ability to operationalize AI/ML solutions in production. English: C1
Job Title: GenAI / MLOps EngineerLocation: Lisbon Portugal Work Regime: Full-time & Hybrid (2x to 3x office days per week) Overview / Summary: We are seeking a GenAI / MLOps Engineer to design deploy and maintain machine learning workflows and AI solutions. This role focuses on operationalizing lar...
Job Title: GenAI / MLOps Engineer
Location: Lisbon Portugal
Work Regime: Full-time & Hybrid (2x to 3x office days per week)
Overview / Summary:
We are seeking a GenAI / MLOps Engineer to design deploy and maintain machine learning workflows and AI solutions. This role focuses on operationalizing large language models (LLMs) and managing ML infrastructure for scalable and efficient AI applications.
The ideal profissional has hands-on experience with LLMs vector databases prompt engineering MLflow and containerized environments using Docker and Kubernetes.
Responsibilities and Tasks:
- Deploy and manage machine learning models and workflows using MLflow and related tools.
- Work with large language models (LLMs) and implement prompt engineering techniques.
- Manage vector databases (FAISS PGV) to support AI/ML solutions.
- Containerize and orchestrate AI workloads using Docker and Kubernetes.
- Collaborate with data scientists engineers and stakeholders to ensure reliable and scalable AI infrastructure.
- Maintain documentation and best practices for MLops processes.
Requirements
Mandatory Requirements:
- Experience with LLMs vector databases (FAISS PGV) and prompt engineering.
- Experience with MLflow for ML workflow management.
- Strong skills in Docker and Kubernetes for containerized deployments.
- Proven ability to operationalize AI/ML solutions in production.
- English: C1
Benefits
Important:
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
#VisionaryFuture - Build the future join our living ecosystem!
Required Skills:
Experience with LLMs vector databases (FAISS PGV) and prompt engineering. Experience with MLflow for ML workflow management. Strong skills in Docker and Kubernetes for containerized deployments. Proven ability to operationalize AI/ML solutions in production. English: C1
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