Senior Machine Learning Engineer (100% remotefriendly within Spain)
Offer summary
Qualifications:
At least 5 years of experience as an ML engineer in a fast-paced environment., Proficiency in production-grade MLOps, including Kubernetes and model deployment tools., Strong expertise in deep learning frameworks like PyTorch or TensorFlow., Experience with deploying and optimizing large language models in industry settings..Key responsibilities:
- Lead and design ML initiatives to support business objectives.
- Develop and deploy ML services for diverse data types, ensuring performance and scalability.
- Research and implement LLM-powered solutions for complex, multilingual environments.
- Collaborate with cross-functional teams to improve workflows and operational excellence.
Job description
Company Description
Welcome to the good side of tech đ
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 jumped in and we empowered patients by giving them access to leave and read reviews about their visit. 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?
Docplanner at scale
We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 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. We are responsible for building the product for all locations. Taking care about talent matters to us, thats why the engineering team has an amazing balance of new team members and people that have been in DP for years.
We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case youâd like to see how it feels to be 100% yourself at work, hereâs a video of us.
Job DescriptionArea of Work
You will join our global Machine Learning and Data Science unit a core team of machine learning scientists (LLM, ASR), engineers and an expanding group of countryspecific linguists embedded in the ever growing Noa product organization used daily by doctors in Brazil, Mexico, Poland, Italy, Spain and Germany. Noa.aiâs mission is to broaden access to topquality 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 crossfunctionally, moving ideas from prototyping and rapid validation to fullscale production with stateoftheart 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.
Qualifications5+ years of professional experience as an ML[Ops] Engineer in a fastpaced, productdriven tech environment.
Proven track record of delivering impactful ML initiatives in highscale, crossfunctional, and highperformance environments.
Demonstrated expertise in productiongrade 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 productiongrade industry environments, ensuring scalability and robust performance. Knowledgeable in prompt engineering, basis of agentâbased workflows, and the generation and manipulation of embeddings.
Problemsolving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers.
Strong collaboration and communication skills, with a track record of influencing crossfunctional stakeholders and aligning diverse teams around shared goals.
Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines.
Experienced in mentoring and guiding other engineers, fostering technical growth and promoting a highperformance team culture.
Curiosity and eagerness to collaborate with crossfunctional teams (e.g., product, marketing, engineering)
Additional Information
Letâs talk money
- A salary adequate to your experience and skills. The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company. Your salary will be, now and always, 100% transparent to you;
- Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings;
- Share options plan after 6 months of working with us.
True flexibility and worklife balance
- 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 hundreds of gyms for a symbolic fee in partnership for you and your family with Wellhub;
- Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
Welcome to the good side of tech đ
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 jumped in and we empowered patients by giving them access to leave and read reviews about their visit. 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?
Docplanner at scale
We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 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. We are responsible for building the product for all locations. Taking care about talent matters to us, thats why the engineering team has an amazing balance of new team members and people that have been in DP for years.
We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case youâd like to see how it feels to be 100% yourself at work, hereâs a video of us.
Job DescriptionArea of Work
You will join our global Machine Learning and Data Science unit a core team of machine learning scientists (LLM, ASR), engineers and an expanding group of countryspecific linguists embedded in the ever growing Noa product organization used daily by doctors in Brazil, Mexico, Poland, Italy, Spain and Germany. Noa.aiâs mission is to broaden access to topquality 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 crossfunctionally, moving ideas from prototyping and rapid validation to fullscale production with stateoftheart 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.
Qualifications5+ years of professional experience as an ML[Ops] Engineer in a fastpaced, productdriven tech environment.
Proven track record of delivering impactful ML initiatives in highscale, crossfunctional, and highperformance environments.
Demonstrated expertise in productiongrade 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 productiongrade industry environments, ensuring scalability and robust performance. Knowledgeable in prompt engineering, basis of agentâbased workflows, and the generation and manipulation of embeddings.
Problemsolving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers.
Strong collaboration and communication skills, with a track record of influencing crossfunctional stakeholders and aligning diverse teams around shared goals.
Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines.
Experienced in mentoring and guiding other engineers, fostering technical growth and promoting a highperformance team culture.
Curiosity and eagerness to collaborate with crossfunctional teams (e.g., product, marketing, engineering)
Additional Information
Letâs talk money
- A salary adequate to your experience and skills. The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company. Your salary will be, now and always, 100% transparent to you;
- Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings;
- Share options plan after 6 months of working with us.
True flexibility and worklife balance
- 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 hundreds of gyms for a symbolic fee in partnership for you and your family with Wellhub;
- Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
Area of Work
You will join our global Machine Learning and Data Science unit a core team of machine learning scientists (LLM, ASR), engineers and an expanding group of countryspecific linguists embedded in the ever growing Noa product organization used daily by doctors in Brazil, Mexico, Poland, Italy, Spain and Germany. Noa.aiâs mission is to broaden access to topquality 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 crossfunctionally, moving ideas from prototyping and rapid validation to fullscale production with stateoftheart 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.
5+ years of professional experience as an ML[Ops] Engineer in a fastpaced, productdriven tech environment.
Proven track record of delivering impactful ML initiatives in highscale, crossfunctional, and highperformance environments.
Demonstrated expertise in productiongrade 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 productiongrade industry environments, ensuring scalability and robust performance. Knowledgeable in prompt engineering, basis of agentâbased workflows, and the generation and manipulation of embeddings.
Problemsolving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers.
Strong collaboration and communication skills, with a track record of influencing crossfunctional stakeholders and aligning diverse teams around shared goals.
Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines.
Experienced in mentoring and guiding other engineers, fostering technical growth and promoting a highperformance team culture.
Curiosity and eagerness to collaborate with crossfunctional teams (e.g., product, marketing, engineering)
- A salary adequate to your experience and skills. The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company. Your salary will be, now and always, 100% transparent to you;
- Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings;
- Share options plan after 6 months of working with us.
- 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 hundreds of gyms for a symbolic fee in partnership for you and your family with Wellhub;
- Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
True flexibility and worklife balance
Additional Information
Letâs talk money
Qualifications
Required profile
Experience
Other Skills
- Mentorship
- Collaboration
- Curiosity
- Time Management
- Communication
- Problem Solving
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