Mid Ai Engineer
5 days ago
**Mô tả công việc**:
(Mức lương: 34 - 45 triệu VNĐ)
Responsibilities:
**Chức vụ**: Nhân viên/Chuyên viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
Welfare for You:
- Competitive salary and benefits
- Monthly KPI review and advise your career path
- 13th month salary
- Annual performance reviews and bonuses
- Private insurance, annual health check
- Gifts on special occasions (Birthday, Tet, Christmas, etc.)
- Cafeteria and free snacks
- Opportunities for technical and soft skills training to enhance your career
- Paid leave: 12 annual leave, 5 marriage leave, maternity leave
- Monday-Friday working schedule
Saturday overtime flexibility Progressive and Fun Working Environment
- A professional English-speaking working environment.
- Surrounded by friendly, open-minded, young and supportive colleagues Annual company trip and regular team-building parties, party celebration (Christmas, Birthday, Mid-autumn,...)
**Yêu cầu bằng cấp (tối thiểu)**: Đại Học
**Yêu cầu công việc**:
MUST-HAVE SKILLS:
- Proficient programming skills in languages such as Python, Golang, or Java, or equivalent. Minimum of 3 years of hands-on experience working on AI/ML projects as an AI Engineer, Research Engineer, or ML Engineer.
- Experience with ML/DL Frameworks such as Tensorflow, Pytorch, Keras, NumPy, scikit-learn, Pandas, NLTK.
- Familiarity with chatbot building frameworks or services like Rasa, Spacy, Dialog Flow, Transformer, BERT, LLM/Prompt.
- Knowledge of OCR algorithms or services such as OpenCV, Tesseract, Textract (AWS), Google Cloud Vision.
- Proficiency in Computer Vision techniques, including CNN, YOLO, MTCNN, SSD, Facenet. Experience with common development tools including Linux, GPU servers, Google Colab, Jupyter.
NICE TO HAVE:
- Background in backend web development using Flask, Django.
- Familiarity with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB). Experience in building APIs and services using REST, SOAP, etc.
- Knowledge of MLOps systems such as MLflow, Feature Store, Vector Database, Airflow, CI/CD.
- Exposure to Generative AI, Large Language Models, and Prompt Engineering, including Diffusion model, LLaMA, LangChain
**Yêu cầu giới tính**: Nam/Nữ
**Ngành nghề**:.NET/C#,Cloud (AWS/Azure),CNTT - Phần Mềm
Đại Học
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