(Senior) Machine Learning Engineer

vor 3 Wochen

Berlin, Deutschland delphai Vollzeit
Your mission Who we are looking for

We are looking for someone who is passionate about technology, with a track record of success in building and supporting complex digital solutions. You should have a strong understanding of end-to-end machine learning lifecycles as well as proficiency in deploying natural language processing solutions at scale. You should also be a collaborative team player, with excellent communication skills and the ability to work effectively with cross-functional teams.

This is a full-time position with the opportunity to work hybrid in our office in Berlin.

Tasks
  • Apply your knowledge and expertise in data processing, refinement and natural language processing (NLP) techniques that leverage our unique firmographics data
  • Implement innovative, scalable machine learning models that can be used in production
  • Build and own end-to-end machine learning lifecycle from data exploration, design, training, and testing to model deployment and metric monitoring.
  • Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems. This includes encouraging best practices in engineering with regards to design and coding.
  • Closely collaborate with a talented cross-functional team of other machine learning, data science, MLOps, and software engineers to bring your models to life.
Your profile Required:
  • Completed bachelor's or master’s degree in computer science, computational linguistics, statistics, engineering, or a related field
  • 3+ years of hands-on experience developing and deploying ML and DL models in production and developing applications using AI and NLP in a professional industrial setting
    • e.g. Deployment technologies: FastAPI, Flask, grpc microservices, Kubernetes K8s
  • Strong proficiency in Python and common ML frameworks and tools, libraries, data structures, and data modeling
  • Experience working with large language models (LLMs): prompt engineering, fine-tuning and language model programming.
  • Stay up-to-date with state-of-the-art NLP breakthroughs, models, and architectures
Nice to have:
  • Hands-on experience working with vector databases (e.g., Weaviate, Milvus, Qdrant)
  • Experience with knowledge graphs (RDF or property graphs)

The successful candidate is proactive, self-motivated, and adaptable, thriving in a fast-paced startup setting with a strong passion for technology. Committed to continuous learning and improvement, they excel in communication, end-to-end thinking, and collaboration, enabling effective work with cross-functional teams.

Why us?
  • High level of responsibility and autonomy: You will have the opportunity to take ownership of projects and initiatives with the support of a collaborative team and a steep learning curve to develop your skills further.
  • Generous educational budget: We are committed to investing in our employees' professional development and provide a generous educational budget to support your personal career goals.
  • Flat hierarchies and short decision paths: Our organizational structure is designed to promote collaboration, innovation, and fast decision-making, with a flat hierarchy and short decision paths.
  • Generous paid time off: We believe in the importance of work-life balance and offer five weeks of paid vacation each year, in addition to public holidays.
  • Flexible working arrangements: We recognize the value of flexibility and offer flexible working hours to support our employees' diverse needs and lifestyles

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