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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 country-specific linguists - embedded in the ever growing Noa product organization used daily by doctors in Brazil Mexico Poland Italy Spain and Germany. 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 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 youll work alongside exceptional engineers scientists and other cross-functional leaders on one of Docplanners 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.
What you will be doing
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.
Qualifications :
5 years of professional experience as an MLOps 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 agentbased 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)
Additional Information :
Lets talk money
True flexibility and work-life balance
Health comes first
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. If you require additional support in your recruitment process we kindly encourage you to let us know. Behind those words youre reading theres a person (hi!) who already helped a candidate by adapting the interviews and now were lucky to have this person with us. So even if youve never asked for it before may this serve as a sign that now you can do so. We can only truly be equal if we adapt to each other.
We believe all humans in all their beautiful diversity should have equal rights dignity and respect. Period. Mariusz Gralewski CEO
Remote Work :
Yes
Employment Type :
Full-time
Remote