NLP data scientist/AI Engineer

Una Health; Berlin; Remote; Vertraulich; Vollzeit

Zusammenfassung

Una Health, a mission-driven company, is seeking an AI Engineer to enhance their digital therapy solutions for metabolic disorders. Join a fast-paced, fully remote team where you will research and deploy cutting-edge AI systems while working collaboratively within the data science and engineering teams.

Leistungen

Competitive salary

Healthy work-life balance

Personal growth and further training

International and diverse team

Qualifikationen

• 2-3 years industry experience.
• Advanced knowledge in NLP and data science.
• Proficient in Python and its libraries.

Aufgaben

• Researching and prototyping AI systems for production.
• Collaborating with the data science team on AI initiatives.
• Developing automated chat solutions and other AI products.

Kenntnisse

Data Science

Natural Language Processing

Python

Machine Learning

Communication

Tools

NumPy

SciPy

TensorFlow

NLTK

Jobbeschreibung

Who we are

We are Una, a mission-driven company tackling the ever-growing burden of metabolic disease.

We combine the latest medical research, data science, biosensor technology and human-centered design to enable sustainable enable sustainable behavior change and improve health outcomes.

We are developing the first medical-grade digital therapy to sustainably address metabolic disorders.

We are supported by Atlantic Food Labs and are part of their portfolio network, which includes some of the most inspiring startups in this in this field such as Clue, Meditopia, Cara Care and Casper as well as companies such as SoundCloud and Gorillas.

We are a fast-growing, fully remote team that is just getting started. There's a lot of opportunity to shape the direction of the product right from the start.

Tasks

The data science team is growing and pushing our tech to the next-level, so we're looking for a new AI Engineer! If you enjoy a fast-paced work environment, flat hierarchies, actually deploying to production and solve real-world problems, then you'll feel right at home.

From vision models, to chatbots and text analytics, our roadmap is packed with exciting projects and opportunities to experiment.

You will be responsible for researching, prototyping and owning AI systems running in production and interacting with real users.

While part of the Data Science team and the overall Engineering org, you will collaborate with other colleagues throughout the company to shape our AI vision.

Requirements

• 2–3 years industry experience
• Advanced knowledge in data science, information retrieval & extraction, natural language processing (NLP), especially proven track record of developing automated chat solutions
• Experience building, training, testing, evaluating (scoring) large language model (LLM) solutions such as chatbots and vision-to-text
• Advanced understanding of a programming language in order to solve data-related challenges, preferably Python (and ability to leverage its ecosystem, e.g. using libraries like NumPy, SciPy, NLTK, TensorFlow, visualisation libraries, and so on)
• Good basic knowledge in data structures & algorithms
• Ability to work in a team that focuses on knowledge sharing, learning, and mentoring
• Good communication skills in English

Bonus skills

• Experience in healthcare or nutrition
• German language skills
• Experience deploying and monitoring machine learning systems in a production context
• Experience with MLOps (e.g., DVC, Metaflow, Feast, Tecton) and GitOps (e.g., DVC) workflows

Benefits

The opportunity to tackle one of the world's leading health problems

Competitive salary

Healthy work-life balance

Personal growth and further training

️ An international and diverse team

Research shows that there is a confidence gap between different groups (e.g., gender, age, ethnicity) which results in some applying if they meet 60% of the criteria and others only applying if they tick all the criteria. So if you think you have what it takes to fulfill this role, but don't necessarily fit every single point of the job description, please get in touch anyway. We'd love to talk to you and find out if you're a good fit.