Alongside is a Portuguese company that partners with international organizations to build and scale exceptional tech teams.
We are looking for a Senior Machine Learning Engineer to join a project with one of our clients, a global leader in professional information solutions and software. Operating across more than 180 countries, the company develops technology-driven solutions for industries including Healthcare, Tax & Accounting, Financial & Corporate Compliance, and Legal & Regulatory.
Responsibilities:
- Design, develop, and maintain scalable data and end-to-end ML pipelines, from data ingestion to production deployment.
- Build and deploy ML services and APIs, ensuring reliability, scalability, and performance.
- Partner with Data Scientists to transform models into robust, production-ready solutions.
- Implement MLOps best practices, including CI/CD, testing, data/code quality, monitoring, and model lifecycle management.
- Troubleshoot production ML systems and drive technical and architectural decisions.
- Work with AWS ML services, particularly SageMaker, and containerized environments using Docker/Kubernetes.
- Contribute to GenAI implementations within our platform framework.
- Mentor team members and contribute to delivery in an Agile/Scrum environment.
Requirements
- Degree in Computer Engineering, IT, or a related field.
- 5+ years of experience in Backend Engineering and/or Machine Learning Engineering.
- Strong production-level Python development skills.
- Hands-on experience building E2E ML pipelines and deploying ML models through APIs.
- Experience with SQL/NoSQL databases, testing frameworks, and data/code quality practices.
- Experience with MLOps tools such as MLflow, Kubeflow, or similar.
- Strong knowledge of AWS, particularly SageMaker and related ML services.
- Experience with Docker and Kubernetes.
- Strong understanding of ML model deployment and lifecycle management.
- Fluent English and strong communication and technical decision-making skills.
Nice to Have - Experience with Computer Vision, NLP, TensorFlow/PyTorch, Scikit-Learn, Pandas, Terraform/CloudFormation, asynchronous messaging, and ML monitoring/observability tools.
Benefits
- Hybrid working model: 2 days per week at the office (Porto);
- Collaborative and international work environment;
- Opportunity to work on impactful software products and transformation projects;
- Exposure to modern technologies, tools, and development practices;
- Opportunity to collaborate with experienced professionals across different countries and areas of expertise.
Skills Required
- Degree in Computer Engineering, Information Technology, or a related field
- 5+ years of experience in Backend Engineering and/or Machine Learning Engineering
- Strong production-level Python development skills
- Hands-on experience building end-to-end machine learning pipelines
- Experience deploying machine learning models through APIs
- Experience with SQL and NoSQL databases
- Experience with testing frameworks and data/code quality practices
- Experience with MLOps tools such as MLflow, Kubeflow, or similar
- Strong AWS knowledge, particularly SageMaker and related machine learning services
- Experience with Docker and Kubernetes
- Strong understanding of machine learning model deployment and lifecycle management
- Fluent English
- Strong communication and technical decision-making skills
- Experience with Computer Vision, NLP, TensorFlow, PyTorch, Scikit-Learn, Pandas, Terraform, CloudFormation, asynchronous messaging, or ML monitoring and observability tools
What We Do
Alongside | Build Great Products with Great Teams Alongside helps VC-backed start-ups, scale-ups and digital-first enterprises accelerate their roadmaps by assembling elite, time-zone-aligned teams of software engineers, product managers and UX/UI designers, often in under 14 days. Our Porto HQ sits in Europe’s fastest-growing tech hub and taps a vetted global talent pool that lets you ship faster, reduce burn and stay laser-focused on product-market fit. Why high-growth companies choose Alongside • Top 1 % practitioners: rigorously screened full-stack, mobile, blockchain & AI/ML engineers, plus senior designers and product leaders.  • Flexible engagement models: scale a single specialist, an entire squad, or an autonomous build-and-ship pod. • End-to-end ownership: discovery → design → development → launch, with weekly velocity reports and transparent KPIs. • Cost-efficient remote talent: New York, Porto, Pune & Hanoi offices give you round-the-clock progress without Silicon-Valley price tags.  • Proven track record: core Alongside team took Arkive, the world’s first decentralised museum, from idea to funded product. We helped Circuit Security to secure 4.5M in funding and many other startups.
