Role Overview
We're seeking a passionate Mid-Level SW Engineer to join the Revenue Optimization ML team.
This high-impact role combines infrastructure expertise with applied MLOps knowledge, requiring
proficiency in software engineering, distributed systems, and machine learning operations.
Key Responsibilities
- Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.
- Build and maintain efficient data pipelines for large-scale processing and feature engineering.
- Optimize compute resources and improve model serving performance across ML systems.
- Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops practices including CI/CD pipelines.
- Collaborate closely with Data scientists to streamline the model development-to-production workflow.
- Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders.
Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
- 4-5 years of experience in Software, Data, or ML engineering roles (preferred).
- Strong problem-solving skills, proficiency in Java and desirable Python.
- Understanding of ML algorithms, model architectures, and experience building scalable, reliable ML systems.
- Exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka).
- Familiarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g., MLflow), and ability to collaborate well across teams.
Ideal Candidate
This role is well-suited to someone with a solid foundation in at least one of the following areas: software engineering, data engineering, distributed systems, or applied machine learning and a readiness to grow into others as the work requires. We welcome candidates who are strong, language-agnostic problem solvers and passionate about building robust ML systems, even if you don't meet every single requirement listed.
Location
- Madrid: Hybrid work model with an expected office presence of 3 days per week.
Some of the benefits you'll enjoy working with us:
- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to form part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- Medical insurance.
How to Apply
If you believe you can do the job and are excited to grow with us, we'd love to hear from you. Please submit your application through our careers page.
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Top Skills
What We Do
At Parser we help organisations leverage on digital to advance their business strategy.
For us, creativity, talent, and passion are indispensable to succeed. This is why we are committed to building, nurturing, and empowering a diverse, multi-disciplinary environment, where every team member can grow professionally and achieve their ambitions, while helping our clients deliver amazing digital products.
Thanks to our flexible, distributed model of global operation and the high calibre of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people across 4 continents.
Our services:
- Digital Strategy & Transformation
We help you understand market trends, relevant technologies, and aligned with your business strategy we create your vision and set the digital direction. This enables you to focus efforts and integrate business and technology across your organisation.
- Digital Portfolio Management
Based on a clear vision and direction, we help you assess your position, execute your digital strategy and manage your portfolio. We do this by integrating a range of diverse business and technical practises, transforming your organisation in the process.
- Product & Service Development
We help you create new experiences by designing user journeys that bridge all of the relevant departments of your organisation. By harnessing our ecosystem of specialised talent, we can provide relevant and focused expertise on demand.
