Senior Machine Learning Engineer, Docplanner
+ Share options plan after 6 months
Booking platform and management software provider for doctors
Open for applications
Booking platform and management software provider for doctors
1001+ employees
Open for applications
+ Share options plan after 6 months
1001+ employees
Company mission
To help people live longer, healthier lives.
Role
Who you are
- 5+ years of professional experience as an ML[Ops] Engineer in a fast-paced, product-driven tech environment
- 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
- Problem-solving 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 cross-functional 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 high-performance team culture
- Curiosity and eagerness to collaborate with cross-functional teams (e.g., product, marketing, engineering)
- We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference
What the job involves
- 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 be expected to drive technical excellence, champion best practices across the team, and actively shape our evolving ML tech stack and workflows
- 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
- In this role, you’ll work alongside exceptional engineers, scientists and other cross-functional leaders on one of Docplanner’s most strategic initiatives, leveraging a cutting-edge tech stack to push the boundaries of AI in healthcare
- Our tech stack includes Python, Pytorch, Whisper, FastAPI - among the others - running on Kubernetes in AWS
- Take technical leadership of ML initiatives, working closely with scientists, engineers, and product stakeholders to deliver AI-driven solutions that directly support strategic business objectives.
- Design, deploy and iterate over ML services for diverse data types (e.g., 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
- Research, architect, and deploy LLM-powered information retrieval solutions (eg. RAG) to deliver accurate and scalable results in complex, multilingual product environments; champion industry-leading frameworks and evangelize their adoption across the organization
- Lead efforts to improve team effectiveness by evolving internal frameworks, optimizing workflows, and fostering a culture of operational excellence in collaboration with the AI Platform team
- Architect, deploy, and maintain high-throughput, reliable data pipelines to support training-set curation and data-annotation tooling
Our take
Healthcare platform Docplanner has become a major player in the European healthtech market in the decade since it was founded. The company offers a suite of administrative tools for over 22M patients and around 2M doctors worldwide, including workflow digitisation and appointment booking services. The company currently operate in 13 countries, hit Unicorn status in 2021, and has been riding a recent wave of digital transformation and workforce overburdening in the healthcare sector which has spurred on demand for precisely the kind of services they provide. So it’s safe to say business is going well.
What is most compelling about Docplanner’s business journey has been its long-brewing competition with their direct competitor, the fellow Unicorn and better-funded Doctolib. The tête-à-tête with this French/German rival has seen both parties making aggressive European expansion with national acquisitions - Doctolib in Italy, France, and Germany; Docplanner in Turkey, Poland, Spain, and Latin America. With Docplanner’s 2021 acquisition of German parallel platform Jameda, however, they are making moves on Doctolib’s home turf. The company has also acquired MyDr, a leading Polish tech solutions provider.
These broad consolidation moves represent a maturation of the healthtech market which will serve both competitors well. Docplanner is certainly a key and aggressive contender in this race - and this company isn't going anywhere any time soon.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2019
$93.5m
SERIES E
May 2017
$17.6m
SERIES D
Total funding: $146.3m
Company benefits
- English classes
- Stock Option plan
Company HQ
De Weteringschans, Amsterdam, Netherlands
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 11 more jobs at Docplanner