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Senior Machine Learning Engineer at Nuvolar. Location Information: Spain. 📍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. Enjoy . every other Friday off. and the . summer schedule in July and August. .. 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!. 🚀. To be aware of all of our latest updates, follow us via . LinkedIn. |. Instagram. |. Glassdoor. |. Medium. Nuvolar Works is an equal-opportunity employer and will not discriminate against any applicant based on age, gender, sexual orientation, disability, national origin, race, or religion. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process.