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Machine Learning Manager, Noa.ai team (100% remote-friendly within Poland), Warsaw
  • Warsaw
Machine Learning Manager, Noa.ai team (100% remote-friendly within Poland), Warsaw
Warszawa, Warsaw, Masovian Voivodeship, Polska
TN Poland
28. 2. 2025
Informacje o stanowisku

Machine Learning Manager, Noa.ai team (100% remote-friendly within Poland), Warsaw

Client:

Location:

Warsaw, Poland

Job Category:

Other

EU work permit required:

Yes

Job Description:

Welcome to the good side of tech

You might have heard about us, but with a different name: Doctoralia. It all started 12 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?

About the Team:

We are looking for a Machine Learning Manager to lead the team driving the development of the AI engine behind the Noa.ai product. Our mission is to revolutionize access to quality healthcare by alleviating the administrative burden on doctors, clinics, and medical personnel, enabling them to focus on patient care.

Currently, the team is dedicated to Noa Notes, an innovative solution that automates medical documentation creation freeing doctors from time-consuming administrative tasks. Technically, it blends Automatic Speech Recognition models with the power of LLMs. Apart from the online inference system, we’ve built a comprehensive quality assurance and validation stack. But that’s not all - we are actively planning and exploring additional groundbreaking AI initiatives aimed at transforming healthcare through technology. As part of this team, you’ll play a key role in shaping the future of AI-driven healthcare solutions.

Responsibilities:

  1. Translate Noa’s objectives into actionable team goals and foster collaboration.
  2. Guide the team in creating and executing a prioritized roadmap to achieve objectives.
  3. Define project scope, objectives, and deliverables, ensuring timely execution with high-quality results.
  4. Oversee the review and validation of datasets, models, and code to maintain quality standards.
  5. Track project progress, ensuring milestones are met and stakeholders are informed.
  6. Collaborate with the Principal Scientist to tackle complex technical challenges and adopt cutting-edge methodologies.
  7. Work with software engineers, DevOps, and IT to ensure seamless ML model deployment.
  8. Partner with product managers to align solutions with business needs and deliver actionable insights.
  9. Ensure the team has the tools, frameworks, and resources needed for success.

What will help you thrive?

  1. 3 years experience managing a team of Data Scientists, ML Engineers, responsible for training/fine-tuning models, operating online in production.
  2. 5+ years of hands-on experience in data science, machine learning, or AI development.
  3. Problem-solving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers.
  4. Proven track record of delivering machine learning models or data-driven solutions in production environments.
  5. Strong understanding of model lifecycle: data preprocessing, training, evaluation, and deployment.
  6. Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines.
  7. Experience collaborating with cross-functional teams (e.g., product, marketing, engineering).
  8. Experience in Speech Recognition models training/evaluating.
  9. Understanding of MLOps tools and processes for maintaining production systems.
  10. Knowledge of data privacy law (e.g., GDPR) and AI ethics principles.

Let’s talk money

A salary adequate to your experience and skills.

Share options plan after 6 months of working with us.

True flexibility and work-life balance

Remote or hybrid work model with a hub in Warsaw.

Flexible working hours.

20/26 days of paid time off (depending on your contract).

Additional paid day off on your birthday or work anniversary.

Health comes first

Private healthcare plan for you and subsidized for your family.

Multisport card co-financing for access to sports facilities across Poland.

Access to a technological platform for mental wellness offering online psychological support and counseling.

Keep growing with us

Free English classes.

We promote and embrace equal opportunities in our hiring process. If you require additional support in your recruitment process, we kindly encourage you to let us know.

Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.

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