Expertise & Experience for best results. Building Africa’s economy through innovative technology solutions.
Responsibilities:
- Data Handling: Collect, preprocess, and manage large datasets. Perform data cleaning, annotation, and augmentation tsupport model training and evaluation.
- Performance Monitoring: Monitor and analyze model performance in real-world scenarios. Identify issues, troubleshoot problems, and implement improvements as needed.
- Collaboration: Work closely with other data engineers, machine learning engineers and domain experts tunderstand project requirements and deliver effective solutions. Communicate findings and results clearly tstakeholders.
- Research and Innovation: Stay current with the latest research and advancements in NLP and machine learning. Conduct experiments and explore new techniques tadvance our capabilities.
Qualifications
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. A master’s degree or higher is preferred.
Technical Skills:
- Proficiency in Python and understanding in Pytorch is preferred.
- Strong understanding of NLP concepts and techniques, including tokenization, named entity recognition, and dependency parsing.
- Experience with NLP models and architectures such as Transformer, BERT, Tacotron2, Wave Glow, etc.
- Proficiency in data handling, data preprocessing, and data annotation, web scraping. (Required)
- Familiarity with evaluation metrics such as BLEU, ROUGE, WER, and MOS.
Experience:
- Proven experience in data handling, preprocessing and annotation of datasets.
- Demonstrated project experience in speech synthesis, speech recognition, or machine translation.
Soft Skills:
- Strong problem-solving skills and attention tdetail.
- Excellent communication and collaboration skills.
- Ability twork effectively in a team environment and adapt tnew technologies.
Preferred Qualifications:
- Experience with real-world applications of NLP and integration intproduction systems.
Method of Application
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