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Machine Learning Expert Wanted
1 week ago
About LexisNexis Risk Solutions: As a global leader in legal, regulatory, and business information and analytics, we strive to deliver innovative solutions that cater to diverse markets. Our Data Science team plays a crucial role in tailoring our products to meet the unique needs of different regions, leveraging local content to drive success.
Job Overview: We are seeking a skilled Data Scientist to join our Johannesburg team. This individual will be responsible for optimizing our legal content search services through advanced machine learning techniques. By leveraging LexisNexis datasets, the Data Scientist will refine models to enhance performance and accuracy. Collaboration with cross-functional teams is essential to ensure seamless integration of models into production environments.
Essential Responsibilities:
- Benchmark and optimize embedding models and reranking models for legal content search services.
- Fine-tune models using LexisNexis datasets to improve overall performance and accuracy.
- Work closely with the French team and report to a manager based in France.
- Analyze and interpret complex data to provide actionable insights and recommendations.
- Stay current with advancements in machine learning and NLP technologies.
- Develop and maintain documentation of processes, methodologies, and results.
Qualifications and Requirements:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Experience with deep learning frameworks like PyTorch and Hugging Face.
- Proficiency in Python programming language.
- AWS services and cloud-based machine learning expertise.
- Knowledge of embedding models and reranking algorithms.
- Experience with legal content or similar domain-specific data.
- Understanding of data visualization tools and techniques.
- Fluency in the French language.
Our Commitment to You:
We recognize the importance of work-life balance and offer a range of benefits to support your well-being and career growth. These include flexible working hours, shared parental leave, study assistance, and sabbaticals, ensuring you can meet both short-term and long-term objectives.