Senior Machine Learning Engineer (100% remote-friendly within Spain) Senior Machine Learning Engineer (100% remote-friendly within Spain)2 weeks ago Be among the first 25 applicants Welcome to the good side of tech You might have heard about us, but with a different name: Znanylekarz. It all started 10 years ago when we asked ourselves: is anyone in healthcare thinking about patients? Welcome to the good side of tech You might have heard about us, but with a different name: Znanylekarz.

It all started 10 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We then provided doctors with the technology to manage bookings easily and save time , so they could devote themselves to what they always wanted: treating patients.

And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human? 280.000 specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management, and One Peak Partners. And yet, employing over 2.900 people all over the globe , we managed to keep the startup mindset we started with over 10 years ago. How does Docplanner Tech fit here?

At Docplanner

Tech we are a diverse group of ~325 people working in teams that include engineers, designers, product managers, data and research. Taking care about talent matters to us, that's why the engineering team has an amazing balance of new team members and people that have been in DP for years . In case you'd like to see how it feels to be 100% yourself at work, here's a video of us. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote-friendly. Area of Work You will join our general Machine Learning and Data Science unit - a core team of machine learning scientists (LLM, ASR), engineers and an expanding group of country-specific linguists - embedded in the ever growing Noa product organization used daily by doctors in Brazil, Mexico, Poland, Italy, Spain and Germany. Ai's mission is to broaden access to top-quality healthcare first by lifting administrative burdens from clinicians and, in the near future, by assuming selected medical tasks. Our most famous product is Noa Notes, which records consultations,



transcribes the audio and produces a structured draft of the medical record. By design, we operate cross-functionally, moving ideas from prototyping and rapid validation to full-scale production with state-of-the-art ML frameworks and modern MLOps practices. We begin with rapid validation sprints when engineers, product managers, and product developers work side by side on early experiments, then centralise and consolidate proven capabilities, standardizing validation methods and engineering best practices through shared tools, frameworks, and lifecycles. Role As a Senior Machine Learning Engineer in the Noa ML team you will take ownership of end-to-end ML capabilities within a product area in our Noa organisation. You will work alongside other machine learning professionals at various seniority levels and report directly into the Head of Machine Learning &

• Data Science. Backed by a strong engineering culture, we pair industry-leading ML rigor with pragmatic delivery, making smart trade-offs to ship value quickly and iterate fast. Our tech stack includes Python, Pytorch, Whisper, FastAPI - among the others - running on Kubernetes in AWS. Design, deploy and iterate over ML services for diverse data types (e.audio, text), while proactively anticipating performance bottlenecks driving continuous improvements. Brainstorm and design technical roadmaps in partnership with the AI Platform team, identifying and addressing platform and MLOps bottlenecks, and designing scalable GPU optimization strategies that balance performance, cost, and reliability. RAG) to deliver accurate and scalable results in complex, multilingual product environments

• Architect, deploy, and maintain high-throughput, reliable data pipelines to support training-set curation and data-annotation tooling. Proven track record of delivering impactful ML initiatives in high-scale, cross-functional, and high-performance environments.



~ Demonstrated expertise in production-grade MLOps, leveraging, for example, orchestration with Kubernetes, model serving via FastAPI, NVIDIA Triton and KServe, Apache Airflow for data pipelines. ~ Good understanding and proficiency in deep learning frameworks such as PyTorch or TensorFlow. ~ Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments, ensuring scalability and robust performance. Knowledgeable in prompt engineering, basis of agent‐based workflows, and the generation and manipulation of embeddings. ~ Experienced in mentoring and guiding other engineers, fostering technical growth and promoting a high-performance team culture. ~ product, marketing, engineering) Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings

• Remote or hybrid work model with our hub in Barcelona; ~ Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly); ~ Summer intensive schedule during July and August (work 7 hours, finish earlier); ~23 paid holidays, with exchangeable local bank holidays; ~ Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate). Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental)

• Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling. Seniority level Mid-Senior level Employment type Full-time Industries Software Development Get notified about new Machine Learning Engineer jobs in Barcelona, Catalonia, Spain .

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📌 Machine Learning Engineer, Senior (Cataluña)
🏢 Docplanner Tech
📍 Cataluña