Senior Machine Learning Engineer

buscojobs España; Valencia; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A leading healthcare technology company is seeking a Senior Machine Learning Engineer to join their team in Valencia. The role involves leading the development of AI solutions, collaborating with cross-functional teams, and utilizing advanced machine learning techniques to improve healthcare outcomes. Candidates should have extensive experience in Python, machine learning, and a strong educational background in STEM fields.

Servicios

Daily in-office lunch stipend

Sabbatical opportunity after five years

Comprehensive private health coverage

Commitment to professional development

Formación

• 6+ years of relevant work experience.
• Expert in Python for the full data science lifecycle.
• Experience with LLMs and cloud platforms.

Responsabilidades

• Lead machine learning projects to solve healthcare problems.
• Transform AI prototypes into production-ready solutions.
• Collaborate with cross-functional teams to integrate AI features.

Conocimientos

Python programming

Machine learning

Data analysis

Problem-solving

Communication

Educación

BSc / MSc / PhD in a STEM field

Herramientas

SQL

Scikit-learn

Pytorch

Docker

AWS

Descripción del empleo

WELCOME to Aetion! We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Generate, Discover, and Substantiate applications, powered by the Aetion Evidence Platform, are used to evaluate the safety, effectiveness and value of medications, delivering better outcomes to patients, medical professionals, and clients. We’ve partnered with top biopharma companies and are backed by leading venture capital firms to help increase our medical research and expand our product line. Aetion is headquartered in the US and has expanded throughout Europe with a Technology Hub in Barcelona.

Aetion and Aetion’s leadership are recipients of several prestigious awards :

• Daily in-office lunch stipend (and a fully stocked kitchen).
• Sabbatical opportunity after five years of employment.
• Commitment to professional development opportunities.
• Employee-led initiatives including annual company-wide innovation day & DEI resource groups.
• Comprehensive private health coverage w / out-of-network reimbursements options.
• Peer & company recognition programs.
• Monthly educational lunch & learns.

Why join Aetion’s tech team?

• You’ll join and collaborate with our global team and engineering leaders on all matters that impact the Engineering team, including resourcing and building technology / product vision.
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems and algorithmic complexity.
• You’ll have the opportunity to develop your career, including coaching and mentoring colleagues (code reviews, higher-level software design) and / or direct management.

The Senior Machine Learning Engineer (EU) is expected to lead and contribute to all parts of the software development lifecycle, including architecture, design, development, documentation, testing, and operations. As a member of a rapidly evolving engineering organization, the Senior Machine Learning Engineer will need to be able to cross functions easily and collaborate with other highly effective individuals, including members of the C-suite.

This is a challenging engineering role that offers a great opportunity to grow with Aetion and make a difference by helping expand the use of Aetion's products.

RESPONSIBILITIES :

• Use a variety of machine learning methods to solve healthcare-related problems using cloud-based technologies.
• Transform innovative AI prototypes into production-ready solutions through rigorous engineering practices.
• Work cross functionally with engineers to integrate AI / ML features into our applications.
• Work alongside science and product to identify and solve high-value machine learning use-cases.
• Maintain and monitor existing AI / ML functionality.
• Research topics in machine learning and AI to stay up-to-date on emerging trends in the field.

QUALIFICATIONS : Required :

• A BSc / MSc / PhD degree (or equivalent) in mathematics, data science, computer science, statistics, electrical engineering, bioinformatics, biomedical engineering or a related STEM field.
• 6+ years of relevant work experience.
• Expert in Python programming for full data science lifecycle (ETL, data exploration, cleaning / pre-processing, feature engineering, model training, evaluation, deployment, monitoring). Tech stack : SQL, Scikit-learn, Numpy, Pandas, Pytorch, Transformers.
• Experience with LLMs : prompt engineering, RAG, fine-tuning.
• Highly analytical, problem-solving mindset with a demonstrated ability to work in cross-functional teams and independently solving ill-defined problems on data from heterogeneous sources.
• Interested in partnering with product teams to solve complex business problems with AI / ML.
• Strong communication skills, in fluent English, with ability to explain complex concepts to a variety of audiences.
• Experience with version control software (e.g., Git).
• Experience working with containerized compute (e.g., Docker, Kubernetes).
• Experience working with cloud platforms (e.g., AWS).

Preferred :

• Experience in the healthcare industry or experience working with large, complex medical / healthcare data (e.g., insurance claims, EHR, CDISC).
• Experience with AWS Bedrock and / or other LLM platforms.
• Experience with MLOps.
• Experience with software engineering best practices.

Aetion is an Equal Opportunity Employer. Aetion is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or genetic information.

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