Senior Machine Learning Engineer (100% remote-friendly within Spain)

jameda GmbH; Bilbao; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading healthcare technology company is seeking a Senior Machine Learning Engineer in Spain. You will lead ML initiatives and shape the ML tech stack. The ideal candidate has over 5 years of experience in ML and expertise in MLOps and Kubernetes. This role offers flexible working arrangements and competitive salary based on experience.

Servicios

Competitive salary

Flexible benefits via Flexoh

Private healthcare

Formación

• 5+ years of ML(Ops) experience in fast-paced environments.
• Proven record of impactful ML projects at scale.
• Expertise in MLOps, Kubernetes, model serving, and deep learning frameworks.

Responsabilidades

• Lead ML initiatives, working with cross-functional teams to deliver AI solutions.
• Design and deploy ML services for various data types.
• Develop technical roadmaps and enhance platform capabilities.

Conocimientos

Machine Learning

MLOps

Python

Collaboration

Problem-solving

Herramientas

Kubernetes

Pytorch

AWS

Descripción del empleo

You might have heard about us, but under a different name: Znanylekarz. It all started 10 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and empowered patients by giving them access to leave and read reviews about their visits. We then provided doctors with technology to manage bookings easily and save time, so they could focus on what they always wanted: treating patients. Today, we invite you to join us in making the healthcare experience more human.

Docplanner at scale

We are leaders in 13 countries, trusted by over 90 million patients monthly. More than 280,000 specialists believe in our product, supported by venture capital funds like Point Nine Capital, Goldman Sachs Asset Management, and One Peak Partners. Employing over 2,900 people worldwide, we maintain a startup mindset even after 10 years.

How does Docplanner Tech fit here?

At Docplanner Tech (https://docplanner.tech), a diverse team of around 325 engineers, designers, product managers, data scientists, and researchers build products used daily by doctors in Brazil, Mexico, Poland, Italy, Spain, and Germany. We value talent and have a balanced mix of new and experienced team members.

Check our reviews on Glassdoor (https://www.glassdoor.com/Overview/Working-at-DocPlanner-EI_IE1071394.11,21.htm?countryRedirect=true) and see how it feels to be your authentic self at work, with this video (https://bit.ly/3xwnSAk).

Why should you join us?

Because it feels good to tell your family and friends that you made the world a little better. You can go to bed knowing your work matters and aligns with your beliefs.

We aim to make healthcare more human, starting with you being yourself. We embrace diversity and encourage you to work fully remotely if you prefer.

Area of Work

You will join our global Machine Learning and Data Science team, responsible for building products like Noa.ai, used by doctors in multiple countries. Our mission is to improve healthcare access by reducing administrative burdens and automating medical tasks, such as recording and transcribing consultations.

Role

As a Senior Machine Learning Engineer, you will own ML capabilities within your product area, drive technical excellence, and shape our ML tech stack. You will collaborate with scientists, engineers, and product teams, reporting to the Head of ML & Data Science.

Our tech stack includes Python, Pytorch, Whisper, FastAPI, running on Kubernetes in AWS.

What you will be doing

• Lead ML initiatives, working with cross-functional teams to deliver AI solutions supporting business goals.
• Design and deploy ML services for various data types, optimizing performance.
• Develop technical roadmaps, enhance platform capabilities, and implement GPU optimization strategies.
• Research and deploy LLM-based retrieval solutions, promoting industry best practices.
• Improve team workflows, frameworks, and operational standards.
• Build and maintain data pipelines for training and data annotation.
• Bring 5+ years of ML(Ops) experience in fast-paced environments.
• Proven record of impactful ML projects at scale.
• Expertise in MLOps, Kubernetes, model serving, and deep learning frameworks.
• Experience with large language models, prompt engineering, and embeddings.
• Strong problem-solving, collaboration, and mentorship skills.

Compensation and Benefits

• Competitive salary based on experience, with transparent career progression.
• Flexible benefits via Flexoh, including meal and transport cards, and training savings.
• Share options after 6 months.

Work-Life Balance & Flexibility

• Remote or hybrid work from Barcelona.
• Flexible hours, summer schedule, paid holidays, and personal days.

Health & Wellbeing

• Private healthcare with Adeslas, including family coverage.
• Gym access through Wellhub.
• Access to mental health support via iFeel.

We promote equal opportunities and support diversity at work. If you need assistance during the recruitment process, let us know.

We believe in respecting all human differences and fostering an inclusive environment.

— Mariusz Gralewski, CEO

Position

• Machine Learning Engineer, Barcelona, ES