(Founding) AI Engineer - Start up (Berlin/Vienna)

(Founding) AI Engineer  

Cherry Ventures is supporting our portfolio with this hire

Summary of the role:

💡 To build a world-class engineering team, we are looking for an AI Engineer to lead our efforts around the analysis and evaluation of biomedical data by leveraging state of the art (L)LMs and using cutting-edge machine learning methods.

Your contributions to our journey:

• Being involved in the setup of our tech stack and AI / data pipelines.
• Developing models for analysis and classification of biomedical data, pattern recognition and anomalies detection.
• Collaborating with the tech team to bring the developed / trained models into production and supporting the whole end-to-end process.
• Contributing to defining and shaping our data and AI product roadmap.

What you need to be successful:

• 5+ years of experience working in related roles (ML engineer, data scientist, data engineer)
• Experience in the complete end-to-end process and life cycle of model development: From data acquisition and preparation to the deployment and go-live phase.
• Experience in NLP and the fields of topic modeling, document classification, named entity recognition and recommender systems.
• Expert-level experience in working with transformer-based large language models (BERT, GPT, Llama, etc.), this includes:
  • Advanced knowledge of prompt engineering techniques, e.g. zero / few shot classification, Chain-Of-Thought, etc.
  • Experience in fine-tuning open-source language models on both labelled (supervised) and unlabelled (unsupervised) domain-specific data using various techniques like LoRa and PEFT / ReFT.
  • Experience in validating, evaluating and benchmarking LLM performance on specific task
  • Experience with LangChain is a plus.
• Good level of proficiency in Python and the common data science tool kit: NumPy, pandas, scikit-learn, etc. Extensive experience in at least one of the following Machine Learning frameworks: PyTorch, TensorFlow, JAX.
• Solid understanding of statistical concepts and methodologies, with the ability to apply them effectively in data analysis and model development.
• Experience with data modeling, data warehousing, ETL and data pipelines is a plus.
• Experience with cloud computing (AWS, GCP, Azure) and IaC is a plus.

Attributes we are looking for:

• You have a positive, problem-solving mindset and a clear bias for action, you bring in your ideas and solutions proactively.
• You are an excellent communicator both with technical and non-technical folks and are able to give and receive direct and open feedback.
• You are flexible, pragmatic, and able to react to new findings and keep adapting under dynamic environments.
• You are passionate about creating products that solve real-world problems, while regarding technology as a tool and not an end in itself.

🇪🇺 At this stage of our company, we can only accept applications from people who are based in Europe with either European citizenship, an active working visa or being self-employed and joining us as a full-time contractor.

What is in for you?

• Grow with us. We are committed to supporting you in your professional and personal development, no matter whether you aim to become a great leader, renowned expert, successful entrepreneur, or high performing specialist.
• Staying healthy is a top priority. We help each other to reflect, stay in balance, and free up company budget to support healthy activities (food, subscriptions, team activities etc.).
• Competitive compensation, including the most employee friendly stock options. Such as fair leaver & vesting terms, secondary exit participation and profit participation opportunities for employees.
• We offer you flexibility and empower you to design your days/weeks according to your needs. Therefore, we offer unlimited vacation and very flexible working hours.
• We commit ourselves to the highest integrity standards. Great performance is not an excuse for disrespectful, jerk-like behavior.

We strive to remove barriers, eliminate discrimination, and ensure equal opportunity through our transparent recruitment process. We are open to all groups of people without regard to age, color, national origin, race, religion, gender, sex, sexual orientation, gender identity and/or expression, marital status or any other legally protected characteristic.