At Enlab Software, we lead the way in delivering top-notch US standard solutions with a focus on sustainability, productivity, and efficiency for clients worldwide.
We're looking for professionals who are proactive in seizing opportunities, embracing growth, and doing the right thing right.
Our Values: Excellence: Never settle for good enough, because good enough never is.
Progress: Always be learning, improving, and looking for ways to bring about growth.
Integrity: Keep reputation in mind first and last in every action, interaction, and decision.
Collaboration: Connect, communicate and understand to bring out the best in our team.
With a team of talented individuals, we are dedicated to delivering cutting-edge solutions to our global clients.
Embracing change is an integral part of our DNA, and we firmly believe that it adds excitement and growth to our journey.
The job description will give you the flavor of the type of things you'll be working on when you start, but this will likely evolve.
About the position As an NLP Engineer, you will design and develop advanced natural language processing solutions.
Your expertise will help build scalable models and algorithms that enhance our systems' ability to understand and process human language, driving insights and improving user experience across platforms.
What You'll Do Study and transform data science prototypes into working solutions.
Design and build innovative NLP applications.
Select the appropriate annotated datasets to train accurate language models.
Use effective text representations to transform natural language into useful features.
Implement the right tools and algorithms to solve NLP challenges.
Develop and fine-tune NLP systems that meet project goals.
Train the developed models and run evaluation experiments to ensure they perform effectively.
Analyze results, refine models, and improve accuracy.
Expand ML libraries and frameworks for NLP tasks.
Stay up-to-date with the latest trends and advances in AI and machine learning.
What You Come with Proven experience as an NLP Engineer or similar role.
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling.
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms.
Knowledge of Python.
Ability to write robust and testable code.
Experience with machine learning frameworks (like Keras or PyTorch) and libraries (transformers) or LLM/assistant frameworks (like Langchain or Rasa).
An analytical mind with problem-solving abilities.
Degree in Computer Science, Mathematics, Computational Linguistics or similar field.
Here's a Taste of What's on the Offer Competitive income packages and comprehensive benefits that are designed to meet your financial needs and provide stability for you.
13th salary fixed and OT compensation.
All benefits by Vietnam's Labor Law with full salary for social insurance and quality annual health check.
Project performance bonus quarterly.
Year-end performance awards.
Holiday present and bonus.
1 - 2 performance review annually.
The opportunity to build meaningful products for international clients such as the US, Australia, European countries that have real-world impact and leverage your expertise.
Flexible working hours - in the end, only the result that matters.
A supportive work culture that our leadership team is accessible, supportive, and invested in your success.
Provide a multitude of learning opportunities, such as training, mentoring, peer-to-peer program, and e-learning platforms such as Coursera Plus, Cloud Academy, Pluralsight; or requested courses/certificates based on demand.
Support initiatives that promote employee well-being such as Enlab's club: badminton, football, book, English; Meditation room, massage chair; Happy Friday with F&B; Team building 2N1D, Outing trip: 3N2D... Enlab is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.
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