We are looking for an experienced Senior Data Engineer/Scientist. This role is your chance to shape the future of our data-driven platforms and have a direct impact on global justice through technology.

In this role, you will contribute to the design and development of scalable data pipelines, leveraging cutting-edge Natural Language Processing (NLP) and Large Language Models (LLM) to build solutions that push the boundaries of legal tech.

At Jus Mundi, you’ll help to innovate and solve complex technical challenges. You will collaborate with cross-functional teams, including the CTO, to define and execute the technical and product roadmap.

Key Responsibilities:

• Data Infrastructure Leadership: Implementation, optimization, and maintenance of our data pipelines, ensuring they are scalable, secure, and reliable for processing vast amounts of legal data.

• NLP & LLM Expertise: Architect and implement solutions involving Large Language Models (LLMs) and Natural Language Processing (NLP) to extract insights and create advanced features for our legal tech platforms.

• Cross-functional Collaboration: Collaborate closely with product, engineering, and legal experts to build intelligent data systems that enhance the user experience and help democratize access to legal information.

• Modeling & Analytics: Develop and deploy machine learning models focused on NLP, entity extraction, and text analytics, ensuring they meet performance, accuracy, and scalability standards.

• Data Strategy: Help drive the technical direction of a rapidly scaling legal tech company by partnering with the CTO to create and execute long-term strategies.

• Best Practices & Innovation: Enforce data engineering best practices while staying on top of emerging technologies, tools, and methodologies in the fields of NLP and machine learning.

Required Skills and Qualifications:

• Proven expertise in data engineering and data science with a strong understanding of NLP and LLMs (experience with models like GPT, BERT, or other transformer-based architectures).

• Experience designing and building scalable data pipelines.

• Strong programming skills in languages such as Python, and experience with data processing frameworks like Apache Spark, Airflow, or Kafka.

• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.

• Excellent problem-solving abilities, with a focus on optimizing complex data workflows.

• Demonstrated experience with Agile methodologies and familiarity with CI/CD pipelines.

• Excellent communication skills and the ability to work collaboratively in cross-functional teams.

Preferred Experience:

• 7+ years of experience in your field.

• Proven experience working in startups or fast-paced environments.

• HR screening call

• Tech interview with our CTO

• Tech Use Case

• Meet the team

• Meet the CEO