Senior ML Backend Engineer

Jobgether; Portugal; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

Jobgether is partnering with a client in Portugal to hire a Senior ML Backend Engineer. The role focuses on building scalable ML infrastructure for training, evaluation, deployment, and monitoring, merging backend engineering with MLOps to productionize models on cloud-native platforms.

The candidate will work with ML researchers, engineers, and software teams to move innovative models from experiments to reliable systems, emphasizing security, governance, and responsible AI practices across

Qualificações

• Senior-level backend software engineering experience with strong ML understanding and interest in expanding ML expertise.
• Experience building ML infrastructure for large-scale training, evaluation, and deployment.
• Strong Python proficiency with ML engineering tools, CI/CD, experiment tracking, containerization, and automated workflows.
• Hands-on MLOps practices: CI/CD, model monitoring, reproducibility, data lineage, governance, production ops.

Responsabilidades

• Build and evolve scalable ML infrastructure for model development, training, evaluation, deployment, and monitoring.
• Design reliable, cost-effective ML pipelines and tooling for large-scale workloads.
• Collaborate with ML engineers and researchers to productionize new models.
• Develop automation, observability, testing, data lineage, and governance across ML environments.
• Evaluate new data sources and tools to improve model performance and efficiency.
• Partner with software, product, and business stakeholders to deliver scalable ML solutions.
• Apply AI-powered development tools and LLM-based agents to automate workflows.
• Ensure ML systems meet security, governance, responsible AI, and risk management standards.

Conhecimentos

Python

ML engineering

MLOps

CI/CD

Kubernetes

Distributed computing

Formação académica

PhD in STEM

MS/MA with relevant experience

Bachelor's with extensive hands-on experience

Ferramentas

Docker

TensorFlow/PyTorch

Airflow

Cloud platforms (AWS/GCP)

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Backend Engineer based in Portugal.

This role offers the opportunity to build and evolve the machine learning infrastructure behind advanced property intelligence solutions. You will combine strong backend engineering expertise with machine learning operations to create scalable platforms for training, evaluation, deployment, and monitoring. Working alongside machine learning engineers, researchers, and software teams, you will help move innovative models from experimentation into reliable production systems. The position involves cloud-native technologies, distributed computing, automation, observability, and responsible AI practices. You will also explore AI-powered engineering tools and modern technologies that improve development efficiency and operational performance. Your work will contribute to solutions that generate insights from large-scale aerial and satellite imagery while helping organizations better understand climate and economic risks.

Accountabilities

• Build, maintain, and evolve scalable machine learning infrastructure supporting model development, training, evaluation, deployment, and monitoring.


• Design reliable, cost-effective ML pipelines, platforms, and engineering tooling for large-scale workloads.


• Partner with machine learning engineers and researchers to transition new models and approaches from prototypes into production-ready systems.


• Develop automation, testing, observability, monitoring, reproducibility, data lineage, and governance capabilities across ML environments.


• Evaluate and integrate new data sources, technologies, platforms, and tools that can improve model performance and operational efficiency.


• Collaborate with software engineering, technology, product, and commercial stakeholders to deliver scalable machine learning solutions.


• Apply AI-powered development tools, coding assistants, and LLM-based agents to automate workflows and improve engineering productivity.


• Ensure machine learning systems meet security, governance, responsible AI, and model risk management standards.


• Identify technical trade-offs and contribute to architectural decisions involving infrastructure scalability, reliability, performance, and cost.

Requirements

• Senior-level backend software engineering experience with a strong understanding of machine learning and a demonstrated interest in developing deeper ML expertise.


• Experience designing, building, and maintaining machine learning infrastructure, platforms, and tooling for large-scale training, evaluation, and deployment.


• Strong proficiency in Python and modern machine learning engineering tools, including deep learning frameworks, experiment tracking, version control, containerization, and automated workflows.


• Hands-on experience with MLOps practices such as CI/CD, model monitoring, reproducibility, data lineage, model governance, and production operations.


• Proven experience with cloud-native technologies, Kubernetes, distributed computing environments, and scalable infrastructure supporting machine learning workloads.


• Demonstrated understanding of artificial intelligence concepts and practical experience using AI tools, coding assistants, and LLM-based agents to enhance engineering workflows.


• Experience implementing AI-powered solutions to address business challenges, with awareness of responsible and ethical AI principles.


• Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.


• Ability to collaborate effectively with machine learning engineers, researchers, software developers, product teams, and business stakeholders.


• PhD in a science, technology, engineering, or mathematics discipline is preferred; a Master's degree with significant relevant industry experience or a Bachelor's degree with extensive hands‑on experience is also considered.


• Equivalent practical experience and non-traditional career paths are welcome.

Benefits

• Opportunity to work on advanced machine learning, computer vision, geospatial analytics, and AI challenges.


• Exposure to large-scale aerial and satellite imagery and technology supporting property intelligence solutions.


• Work with modern cloud-native infrastructure, distributed computing, ML platforms, and AI-enabled engineering tools.


• Opportunity to contribute to responsible AI, model governance, security, and risk management practices.


• Collaborative environment involving machine learning engineers, researchers, software engineers, product teams, and other stakeholders.


• Professional growth opportunities through work on complex, high-impact machine learning infrastructure challenges.


• Inclusive workplace focused on curiosity, diverse perspectives, integrity, collaboration, and continuous improvement.


• Candidates who do not meet every listed requirement are encouraged to apply if they can demonstrate relevant skills and experience.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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