You design and optimize machine learning models for various languages, enhance text normalization solutions, and mentor junior team members.
Anforderungen
- •MSc or PhD in Computer Science
- •4+ years of hands-on experience in machine learning
- •Proven experience with seq2seq models and transformers
- •Strong programming skills in Python
- •Familiarity with ML frameworks such as TensorFlow, PyTorch
- •Experience with multilingual NLP applications
- •Solid understanding of machine learning principles
- •Excellent problem-solving skills
- •Strong communication skills
Deine Aufgaben
- •Design and optimize machine learning models
- •Implement language-specific machine learning solutions
- •Enhance text normalization and classification capabilities
- •Collaborate with cross-functional teams
- •Conduct research on NLP advancements
- •Mentor junior engineers and linguistic experts
Original Beschreibung
# Senior Machine Learning Engineer (NLP)
**Aachen** | **Full time**
## A Moving Experience.
# Key Responsibilities:
* Design, implement, and optimize polyglot and language-specific machine learning models for a broad range of languages with a strong focus on seq2seq models and classifiers.
* Develop and enhance solutions that employ such models to solve challenging text normalization and classification problems in the context of text-to-speech.
* Collaborate with cross-functional teams to understand business requirements and deliver high-quality results.
* Conduct research and stay up-to-date with the latest advancements in the field of NLP and machine learning.
* Mentor and guide junior engineers and linguistic experts, providing technical leadership and fostering a culture of continuous learning.
#
# Qualifications:
* MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
* 4+ years of hands-on experience in machine learning, with a focus on NLP.
* Proven experience with seq2seq models, transformers, and other advanced NLP architectures.
* Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or similar.
* Experience with multilingual NLP applications and understanding of the challenges associated with them.
* Solid understanding of machine learning principles, algorithms, and statistical methods.
* Excellent problem-solving skills and the ability to think critically and creatively.
* Strong communication skills and the ability to work effectively in a collaborative team environment.
# Preferred Qualifications:
* Familiarity with MLOps practices and tools.
* Experience with text-to-speech.
* Proficiency in another language than English.
### EQUAL OPPORTUNITY EMPLOYER
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.
All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:
- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.
- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
- Demonstrative knowledge of information security through internal training programs.