YOUR MISSION:
As a Senior Machine Learning Engineer (f/m/d)*, you will work on Parloa’s Experimentation and Evaluation Platform and the models and software that power our generative AI products. You will work directly with product engineering and sales teams to help them evaluate and improve our AI Agents and the models that power them. You’ll build services that enable customers to evaluate AI Agents and run experiments. You’ll collaborate with Data Scientists to research and develop new product features - from testing new AI system optimisation frameworks to fine-tunning STT models on new languages and accents.
You’ll join the AI & Data Science Team, a collaborative group of Machine Learning Engineers and Data Scientists that own Parloa’s ML Platforms and Machine Learning models. The team is responsible for keeping Parloa at the forefront of research and development of Generative AI and AI Agent based products.
IN THIS ROLE YOU WILL:
- Take ownership of data science and machine learning projects that help us improve our generative AI product suite
- Collaborate with product engineering and sales to shape requirements and our product vision leveraging AI and LLMs in line with customer needs
- Execute machine learning projects end-to-end: understanding user-facing requirements, data gathering and transformation, exploratory data analysis, model productionization, maintenance and support, continuous improvement
- Shape our ML platform (ML / LLM Ops) by defining the requirements and/or designing and implementing parts of it in collaboration with our data platform and DevOps teams
Our Tech stack (AI & Data): Python, OpenAI, LangGraph, SQL, Microsoft Azure, Kubernetes, Terraform, Docker, MongoDB, MySQL, Redis, Eventhubs (Kafka), PostHog, Databricks, DeltaLiveTables, Preset
WHAT YOU BRING TO THE TABLE:
- 7+ years of experience as a machine learning engineer
- Experience working with NLP, LLMs and information retrieval; experience with LLMs in a production environment is a strong plus
- Strong proficiency in Python
- Experience working with big data technologies (e.g. Spark) and using ML Ops platforms (e.g. MLFlow)
- Experience with owning the ML process end-to-end: from gathering requirements to experimentation to productionisation, monitoring and optimization.
- Experience in leading medium-sized technical projects (3-9 months roadmap)
- Strong spoken and written communication skills in English
WHAT'S IN IT FOR YOU?
- Be part of a dynamic, driven team of +40 nationalities with flat hierarchies and a collaborative company culture
- Flexible office policy - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office
- Attractive compensation package
- Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth
- Flexible working hours, 28 vacation days and workation opportunities
- Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass or Urban Sport Club.
- We cover the cost of a monthly Deutschland train ticket.
- Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands.
- Regular team events, game nights, and other social activities
- And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks
- Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity
Your recruiting process at Parloa:
Recruiter video call → Hiring Manager Interview → Technical Stage (Coding Session) + Machine Learning (Case Study) → Meeting the team
