Senior Machine Learning Engineer - Remote Eligible
Nuvolar
Senior Machine Learning Engineer
Location: Remote (Spain-based) Level: Senior Type: Full-time
At Nuvolar, we're driven by purpose, integrity, and the pursuit of excellence, and we're looking for a Senior Machine Learning Engineer who shares these values to join an ambitious and impactful project in the healthcare industry.
You'll play a key role in transforming complex data into life-changing solutions. This is more than just a technical role: it's a chance to make a tangible difference in the way healthcare works, and in people's lives.
What You'll Do
As part of a dynamic, cross-functional team, you'll be responsible for designing, building, and deploying production-ready machine learning models and robust data pipelines in Microsoft Azure. You'll collaborate with both technical peers and business stakeholders to develop innovative, data-driven solutions with real-world healthcare applications.
Your main responsibilities will include:
- Develop, train, evaluate, and deploy predictive data models using Python and ML libraries such as Scikit-learn and PyTorch.
- Design, build, and maintain scalable data processing pipelines and data flows using Azure Data Factory (ADF).
- Utilize Azure ML Studio for model experimentation, training, and deployment.
- Work extensively with large datasets, including Parquet files, stored in Azure Data Lake.
- Perform feature engineering and selection to optimize model performance.
- Define and apply appropriate validation metrics (e.g., accuracy, precision, recall, F1-score) to assess model performance and ensure business alignment.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements, even when dealing with ambiguous or non-detailed user stories.
- Effectively communicate technical concepts and model outcomes to both technical and non-technical audiences.
- Contribute to the design and architecture of cloud-based data science applications.
- Manage code and collaborate with the team using Git, and perform tasks using Bash and the command line.
- Develop and deploy serverless components using Azure Function Apps.
What We're Looking For
We're seeking someone with strong technical expertise, business acumen, and a proactive mindset who thrives in collaborative environments.
Must-haves:
- 5+ years of experience in data science or ML engineering.
- Solid experience with the Azure cloud ecosystem: ADF, ML Studio, Data Lake.
- Deep Python knowledge and experience with Pandas, NumPy, Scikit-learn, and PyTorch.
- Strong SQL skills and familiarity with data formats like Parquet.
- Proficient with Git, Bash, and working in terminal environments.
- Ability to work independently with minimal direction on complex tasks.
- Excellent communication skills in English – both written and spoken.
Nice-to-haves:
- Experience training or fine-tuning generative models (e.g., LLMs).
- Advanced knowledge of serverless architectures and Azure Function Apps.
Why You'll Love Working at Nuvolar
- Impactful Projects: You'll work on meaningful projects that improve real lives in the healthcare space.
- People-First Culture: We care about our team, support each other, and have fun together.
- Remote-First Approach: Work from anywhere with flexibility and trust.
- Continuous learning – Access training programs, mentorship, and career development opportunities, and an annual budget for professional development.
- Health and wellness perks – Private health insurance and a gym subsidy.
- Great company culture – We organize team events, knowledge-sharing sessions, and fun activities!
The Hiring Process
We like to keep things simple and transparent:
HR Interview – A friendly conversation with our HR team to understand your background and career aspirations.
Technical challenge – A hands-on task to assess your problem-solving skills.
Technical interview – Meet the team and discuss your approach to data engineering.
If you're ready to take the next step in your career and work on exciting data projects, apply now!