Machine Learning Engineer

2 tygodni temu

Warszawa, Mazovia, Polska DocPlanner Pełny etat
Machine Learning Engineer (100% remote-friendly within Poland)Full-time

Welcome to the good side of tech

You might have heard about us, but with a different name: ZnanyLekarz / Doctoralia. 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 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 2.500 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 over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement.

We work on projects that deliver extraordinary value to doctors and patients - we save doctors' time, allow them focus on patients and their case. Patients receive better care. So you go to bed knowing that what you do matters,

We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We're not just different: we embrace diversity. 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.

More about the team

Our team is part of Strategic AI Initiatives, exploring new areas in the healthcare market. Right now, we're working on several innovative AI projects.

One key project is our AI Assistant, an early-stage product with great potential. Our goal is to help doctors provide more attentive care during consultations. We aim to reduce computer-related distractions, improve workflows, and create a more empathetic patient experience thanks to using the AI Assistant (using, among others, Speech Recognition and LLM Models).

How would you be impacting our mission?

Deploying custom/pre-trained machine learning models into production.

Implementing ML/LLM-based solutions on scale and evaluating them.

Validating, monitoring and supporting models & environment in a production setup.

Monitoring changes in data characteristics in production.

Selecting the best parameters for inference.

What will help you thrive?

Growth mindset: nobody ticks all those boxes above, but a willingness to learn is strongly valued here.

Concentrate on delivering value to the end user; we value a broad perspective rather than fixating solely on specific technologies

Proficiency of at least 4 years in Machine Learning, encompassing the deployment of models.

Proficiency in developing APIs and GPU-oriented training and inference.

Robust command of Python and familiarity with Bash.

Hands-on experience with machine learning frameworks such as PyTorch and big data technologies.

Familiarity with Docker, Kubernetes, and cloud platforms tailored for Machine Learning deployment.

Exceptional communication abilities demonstrated in both written and verbal forms.

Aptitude for problem-solving and adeptness in conveying intricate concepts efficiently.

Experience with audio data and speech recognition models.

What will you get in return?

Let's talk money

A salary adequate to your experience and skills.

Remote or hybrid work model with or hub in Warsaw;

Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);

21/26 days of paid time off (depending on your contract);

Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).

Health comes first

Private healthcare plan with Signal Iduna for you and subsidized for your family.

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

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

Keep growing with us

20% time rule: spend 20% of your working hours on your own growth;

Free English classes.

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 you're reading, there's a person (hi) who already helped a candidate by adapting the interviews, and now we're lucky to have this person with us. So, even if you've 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

#J-18808-Ljbffr

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