Senior GenAI & MLOps Engineer (Remote)

Jobgether; Portugal; Presencial; EUR 86 000 - 103 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote working model

Competitive salary

Hands-on AI projects

Kubernetes exposure

Resumo da oferta

Jobgether in Portugal is seeking an experienced AI/ML & Forward Deployed Engineer to design, deploy, and scale GenAI solutions from concept to production. You will blend software engineering with ML practices, delivering high-impact AI products and robust, secure systems.

The role involves working with LLMs, RAG pipelines, embeddings, and prompt engineering, plus end-to-end MLOps/LLMOps and observability.

Qualificações

• 8+ years of professional software engineering or technical engineering experience.
• Strong hands-on experience in Machine Learning and AI/ML Engineering.
• Advanced Python development skills and practical experience with deep learning.
• Experience with NLP, forecasting, classification, regression, and anomaly detection.
• Proven experience building GenAI applications using LLMs and Retrieval-Augmented Generation (RAG) architectures.
• Strong understanding of embeddings, retrieval tuning, reranking, prompt engineering, and AI/LLM evaluation methodologies.
• Solid knowledge of MLOps and LLMOps principles across the AI development lifecycle.
• Hands-on experience with Docker, Kubernetes, and CI/CD technologies for production deployments.
• Experience designing and developing REST and gRPC APIs and event-driven services.
• Knowledge of model monitoring, model versioning, drift detection, performance evaluation, and model lifecycle management.
• Strong understanding of data quality, data governance, security controls, RBAC, encryption, and audit trails.

Responsabilidades

• Design, develop, and deploy machine learning, AI, and GenAI solutions from proof of concept through production.
• Build and optimize ML models and applications covering deep learning, NLP, forecasting, classification, regression, and anomaly detection use cases.
• Develop production-grade GenAI applications using LLMs, RAG pipelines, embeddings, retrieval optimization, reranking, and prompt engineering.
• Design and implement AI evaluation frameworks to assess model quality, reliability, relevance, and performance.
• Build scalable AI services and integrations using REST and gRPC APIs as well as event-driven architectures.
• Establish and maintain MLOps and LLMOps practices covering deployment, automation, versioning, monitoring, and lifecycle management.
• Containerize and orchestrate AI applications using Docker and Kubernetes and integrate them into robust CI/CD pipelines.
• Implement model monitoring, drift detection, performance tracking, and processes for continuous model improvement.
• Ensure AI solutions meet enterprise requirements for data quality, governance, security, role-based access control, encryption, and auditability.
• Collaborate with business and technical stakeholders to understand requirements, identify opportunities for AI adoption, and translate them into effective technical solutions.
• Support solutions through production operations, troubleshooting, optimization, and ongoing improvements.
• Apply strong engineering practices to ensure AI systems are scalable, secure, observable, maintainable, and aligned with business objectives.

Conhecimentos

Python

ML Engineering

NLP

Forecasting

LLMs

Embeddings

MLOps

LLMOps

Docker

Kubernetes

CI/CD

REST API

gRPC

Event-driven

RBAC & Security

Ferramentas

Docker

Kubernetes

CI/CD

Descrição da oferta de emprego

Jobgether in Portugal is seeking an experienced AI/ML & Forward Deployed Engineer to design, deploy, and scale GenAI solutions from concept to production. You will blend software engineering with ML practices, delivering high-impact AI products and robust, secure systems.

The role involves working with LLMs, RAG pipelines, embeddings, and prompt engineering, plus end-to-end MLOps/LLMOps and observability.