Job Description
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Written by AI from the job title and company, not by myGwork - LGBTQ+ Business Community, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Senior NLP Software Engineer I - Java at myGwork will play a pivotal role in designing and implementing advanced natural language processing algorithms and applications that enhance our services for the LGBTQ+ business community. The ideal candidate will work collaboratively with cross-functional teams to develop innovative software solutions, ensuring optimal performance and scalability. This position requires a deep understanding of NLP methodologies, strong programming skills in Java, and the ability to communicate findings effectively to stakeholders.
Job Responsibilities
- Design and implement NLP algorithms to process and analyze large volumes of textual data.
- Collaborate with data scientists and software engineers to develop scalable software solutions.
- Conduct research to evaluate and enhance natural language processing techniques and methodologies.
- Optimize existing codebase for performance, security, and maintainability.
- Create and maintain comprehensive documentation for all developed software components.
- Participate in code reviews and mentor junior developers in best practices for NLP and software engineering.
- Stay current with the latest advancements in NLP technologies and incorporate relevant findings into software development.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 4+ years of professional experience in software development with a focus on NLP applications.
- Proficient in Java, with a solid understanding of data structures and algorithms.
- Experience with NLP libraries and frameworks (e.g., Apache OpenNLP, Stanford NLP, spaCy).
- Familiarity with machine learning concepts and libraries (e.g., TensorFlow, scikit-learn) is a plus.
- Strong analytical and problem-solving skills, with an ability to work independently and in team settings.
- Excellent verbal and written communication skills to effectively share complex technical concepts.
Technologies & Tools
The Senior NLP Software Engineer I will utilize various technologies and tools, notably Java for software development, alongside NLP libraries such as Apache OpenNLP and Stanford NLP. Familiarity with machine learning frameworks like TensorFlow and scikit-learn will be beneficial. Additionally, the role may involve working with data processing tools and environments like Apache Hadoop or Spark, and utilizing Git for version control in collaborative development projects.
Ideal Candidates
The ideal candidate for this position is someone who possesses a strong passion for natural language processing and is committed to promoting diversity and inclusion within the tech industry. They should be self-motivated and curious, constantly seeking to learn and implement the latest NLP advancements. A collaborative mindset, coupled with excellent interpersonal skills, will enable them to work effectively within a diverse team and contribute to enriching the user experience for the LGBTQ+ community. Adaptability and problem-solving capabilities will also be crucial in navigating challenges inherent in software development.
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