NLP Developer - Junior/Fresher/Intern - Remote/Full/Part-Time

We are seeking talented and motivated individuals to join our team as Natural Language Processing (NLP) Engineers. This is a unique opportunity to work with a diverse group of professionals on challenging and innovative projects in the field of AI and machine learning. Whether you are a recent graduate or an experienced professional, if you have a passion for NLP and meet the qualifications listed below, we encourage you to apply.

Candidate Qualifications

We welcome candidates from a variety of academic backgrounds, including but not limited to:

Computer Science

Computer Engineering

Electrical Engineering

Mechatronics

Biomedical Engineering

Biology

Finance

Eligibility

Current students from first year to final year, recent graduates, and those seeking internship or thesis positions are all welcome to apply.

No limit on the number of candidates.

Requirements

Fundamental Skills:

Strong foundation in programming and mathematics.

Proficiency in C/C++ and Python is desirable, but not mandatory.

Preferred Qualifications:

Basic understanding of statistics and machine learning.

Knowledge of Bayesian Inference and probabilistic graphical models.

Familiarity with machine learning frameworks such as Caffe, PyTorch, TensorFlow, NLTK, and Stanford NLP.

Understanding of evaluation methods in machine learning.

Experience with NLP concepts like Word Embedding, Word2Vec, Parts-of-Speech Tagging, N-Grams, Language Models, Machine Translation, and Attention mechanisms.

Interest in Natural Language Understanding.

Knowledge of advanced machine learning techniques such as GRU, RNN, LSTM, HMM, optimization, attention, and regularization methods.

Experience with Deep Learning and Neural Networks (e.g., ResNet, AlexNet).

Understanding of CPU/GPU/TPU computing and distributed/parallel computation.

Familiarity with supervised, unsupervised, and reinforcement learning, as well as auto-machine learning, meta-learning, multi-task learning, graph neural networks, and federated learning.

Experience with NLP and speech processing, time series analysis, and regression/classification tasks.

Interest in applied AI fields such as chatbots, question answering, logistics, FinTech, trading, banking, legal applications, autonomous vehicles, robotics, smart city development, and smart manufacturing.

Additional Skills:

Awards or recognitions in international or national Olympiads or any national challenges are a strong plus.

Job Details

Duration:

The position requires a minimum commitment of 6 months, with a preference for candidates interested in long-term projects (1 year or more).

Location:

Flexible work arrangements including options for remote (work from home) or hybrid work.

Multiple locations available: Hanoi, Ho Chi Minh City, Da Nang, Can Tho, Binh Duong, Dak Lak, Khanh Hoa, Long An, Dong Nai, Tien Giang, Nghe An, Quy Nhon, Quang Ngai.

Opportunities:

Collaborate with talented professionals and industry experts.

Participate in supervised machine learning projects.

Opportunities for international travel to attend conferences and workshops.

How to Apply

Interested candidates are invited to send their CVs directly to our email. Please include any relevant awards or recognitions in your application.

For more information, feel free to contact us via email.

[#HCM] [#Hanoi] [#DaNang] [#Cantho] [#BinhDuong] [#DakLak] [#KhanhHoa] [#LongAn] [#DongNai] [#TienGiang] [#NgheAn] [#QuyNhon] [#QuangNgai] [#WorkFromHome] [#Hybrid]