Ml Operations Engineer
Power
Talent: Recruitment, Selection, and Global Outsourcing
Power
Talent 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 Power
Talent, 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.
Senior AI Engineer – Lisbon, Portugal
We are looking for a skilled Senior AI Engineer.
Key Responsibilities
- Develop and maintain data pipelines and workflows using Python and Airflow (Cloud Composer).
- Work with GCP services to design and implement scalable data solutions.
- Write optimized SQL queries for data extraction and transformation.
- Collaborate with cross‑functional teams to ensure data quality and efficiency.
- Participate in code reviews and contribute to best practices in data engineering.
Requirements
- Proficiency in Python.
- Experience with Google Cloud Platform (GCP).
- Experience with Apache Airflow / Cloud Composer.
- Strong knowledge of SQL and relational databases.
- Exposure to Generative AI (Gen AI) fundamentals and Large Language Models (LLMs).
- Contract or B2B – its up to you.
- Hybrid Work.
- Continuing education and professional development.
Generative AI Engineer – Remote (Portugal)
We are looking for an experienced AI Engineer to join our team. This Engineer will lead the development and deployment of generative AI solutions in enterprise environments. The role focuses on designing, implementing, and optimizing LLM applications across Microsoft Azure and building Copilot solutions.
Responsibilities
- Lead the design, development, and deployment of Gen
AI solutions. - Deliver autonomous Gen
AI applications (Open
AI, AI Search) and implement AI/ML workflows for business applications. - Prepare data and develop prototypes from concept to production, including planning, architecture, and solution validation.
- Integrate external APIs, Microsoft 365 services (Graph API, Power Automate, Power Apps, Dataverse), and other enterprise systems with AI solutions.
Mandatory Requirements
- +5 years of experience in Machine Learning, Generative AI, or related fields.
- Experience implementing Gen
AI solutions and LLMs (GPT‑4o, O3) and Copilot implementations. - Experience with Azure AI Services for TTS, STT, OCR, embeddings, and data processing.
- Backend API development experience, particularly with Fast
API. - Dev
Ops and MLOps practices, including Docker, CI/CD, Azure Container Registry, and secrets management (Azure Key Vault, Git
Hub, Hashi
Corp Vault). - Azure Cloud services: Functions, Logic Apps, Open
AI Service, AI Search/Foundry, Data Factory, Databricks, Blob Storage, Cosmos
DB, and Application Insights.
Complementary Requirements
- Knowledge of Gemini 2. 5 Pro and Claude 3. 7 Sonnet.
- Microsoft Copilot applications, Gen
AI grounding, RAG setup, and vector search integration. - API integration, REST calls, OAuth 2. 0, Azure AD, and token‑based authentication.
Benefits
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in Portugal.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
Senior Machine Learning Engineer – Lisbon, Portugal (Remote or Hybrid)
We are looking for a Senior Machine Learning Engineer to join a fast‑growing AI team focused on operationalizing cutting‑edge ML models and delivering robust ML pipelines at scale.
What You’ll Do
- Collaborate with data scientists to develop production‑ready model training pipelines.
- Design scalable solutions and inference pipelines in distributed environments.
- Implement model diagnostics, monitoring flows, and evaluation metrics.
- Automate model deployment and create REST API endpoints for ML models.
- Build scalable model serving workflows.
- Optimize clusters for performance and scalability.
- Develop and maintain internal ML tools and libraries.
What They Are Looking For
- Extensive software development experience using Python in large‑scale, high‑performance production environments.
- Experience with cloud platforms like AWS or Azure.
- Proficiency with Spark/Py
Spark. - Excellent problem‑solving and communication skills.
Gen
AI / MLOps Engineer – Lisbon, Portugal (Full‑time & Hybrid)
We are seeking a Gen
AI / MLOps Engineer to design, deploy, and maintain machine learning workflows and AI solutions, focusing on operationalizing large language models (LLMs) and managing ML infrastructure for scalable and efficient AI applications.
Responsibilities
- Deploy and manage machine learning models and workflows using MLflow and related tools.
- Implement prompt engineering techniques and 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
- 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 proficiency: C1.
Benefits
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in Portugal.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
Additional Notes
Unfortunately, several positions do not provide sponsorship. All applicants must have the legal right to work in the country where the position is based.
- Informações detalhadas sobre a oferta de emprego
Empresa: Axco Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 29. 11. 2025
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