Machine Learning Engineer (NLP)

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.

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.
• Encourage best practices in engineering with regards to design and coding.
• Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems
• Closely collaborate with a talented cross-functional team of other machine learning, data science, MLOps, and software engineers to bring your models to life.

Required:

• 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 and developing applications using AI and NLP in a professional industrial setting
• 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