Machine Learning Engineer

Healthcare professionals have to spend too much time on administrative tasks, when they should be spending that time delivering great care. Attendi allows healthcare professionals to report with their voice. This saves them precious time and removes the screen between client and caregiver, allowing more personal and effective care to be given. Burdened by an aging population, the healthcare sector is in desperate need of innovators like Attendi. We feel that we provide an extraordinary work environment: getting paid well to work with smart people on things that actually have a positive impact on society.

Fresh off a successful funding round and in a phase of rapid growth, we are seeking a Machine Learning Engineer to be a core part of our expanding company. You will play a key role in applying the latest research findings to our unique datasets, focusing on the end-to-end development and deployment of AI models. This includes writing production-grade inference code and overseeing the entire lifecycle of these models, from design to deployment. You will be at the forefront of translating recent scientific advancements into practical applications within healthcare, with a strong emphasis on privacy and meeting the needs of healthcare professionals. You will be responsible for setting up and managing the AI infrastructure to enable rapid experimentation and testing and effectively utilizing our unique dataset of spoken and written medical reports. Our deep understanding of how these reports are generated allows us to extract unprecedented value from this data which will contribute to the advancement of AI applications in healthcare, ensuring scalability, efficiency, privacy and impact.

Your Role

• AI Strategy Development: Formulate and implement a robust AI strategy that aligns with Attendi's healthcare vision.
• In-House AI Model Development: Lead the creation of innovative AI models, including LLMs and other transformer models, with a focus on healthcare applications.
• Rapid Prototyping with GPT Models: Quickly test and experiment with GPT models from OpenAI, guiding our in-house development using insights gained.
• Data Utilization: Leverage Attendi's unique and extensive in-house data to create impactful AI solutions.
• MLOps Professionalization: Enhance and professionalize our existing MLOps infrastructure, ensuring efficient deployment and maintenance of AI models.
• Collaboration: Work closely with frontend and backend engineers, as well as the management team, to integrate AI solutions seamlessly across our platforms.
• Privacy-Centric AI: Develop AI models with a strong emphasis on privacy, always keeping the healthcare professional's needs at the center.

Attendi's Tech Stack

• Python for programming
• PyTorch as ML framework
• Jupyter for experimenting
• DVC for data version control
• Docker for deployment
• Azure for cloud services

What We Offer

• Working on impactful solutions for problems in healthcare: our solutions directly result in time savings for healthcare professionals, time they can use to deliver better and more personal care.
• Transparent and responsible personal development: we encourage personal development by making development plans together and giving the opportunity to follow courses that you feel contribute to your development.
• Good salary and equity: we offer equity in the form of stock appreciation rights. As our team is still small, equity distribution is favorable.
• Possibility to work from home: while we like to work together at our Amsterdam-based office, we think having the freedom to work at home when it suits you is important. Most of us spend two to three days per week at the office and the rest working from home.
• Healthy work-life balance: a healthy work-life balance translates to someone that is happier and more productive at work. We encourage a healthy lifestyle by contributing to a membership to Classpass. Working overtime is the exception rather than the rule.
• A great place to work – feel free to reach out to our team to ask what it’s like!
• We are an equal and diverse opportunity employer.
• The option to do voluntary work during work hours.

• Education: Degree in Artificial Intelligence, Computer Science, Mathematics, or a related field
• Professional Experience: Significant experience in a similar role, with demonstrable expertise in machine learning and broader aspects of AI.
• Technical Skills: Solid engineering expertise, focused on designing, building, and improving scaled machine learning systems. Proficient in creating reliable, error-free machine learning code, and adept in understanding and advancing the scientific principles behind our algorithms
• ML Frameworks: Proficiency in machine learning frameworks such as PyTorch
• Generative AI Models: Knowledge of generative AI models and tools, including LLMs and tools like Langchain
• AI Infrastructure: Experience in setting up and managing AI infrastructure for rapid testing and experimentation, effectively utilizing unique datasets, and deploying AI models at scale
• Languages: Excellent communication skills in English
• Team Player: A proactive, analytical individual who thrives in a team environment and is open to new ideas
• Continuous Improvement: A passion for continuous learning and improvement

Kindly avoid making any acquisition-related inquiries in response to this job opening.