Sennior AI Engineer, Sài Gòn - Hà Nội - Đà Nẵng

1. Top 3 reasons to join us

· Working in US Based Energy Storage Technology.

· US working standards and styles.

· Working w top global Research & Development Team

2. Responsibilities:
. Preprocess battery data: normalization, cleaning, handling missing data, and feature extraction.

· Support training and research of Machine Learning / Deep Learning models for:

o State of Charge (SoC) prediction

o State of Health (SoH) estimation

o Battery lifetime / Remaining Useful Life (RUL) forecasting

· Experiment, evaluate, and benchmark various algorithms: Linear Regression, Random Forest, XGBoost, LSTM, CNN-LSTM, Transformer.

· Write Python scripts for data visualization, result analysis, and model performance reporting.

· Assist in developing data pipelines, generating statistical reports, and managing large-scale battery datasets.

· Collaborate with Senior AI Engineers and software development teams to integrate models into the Battery Management System (BMS).

· Participate in research on model optimization, hyperparameter tuning, and improving predictive performance.

· Monitor and analyze prediction errors, and propose model improvements based on real-world battery system data.

4. Why you'll love working here

· Work on large-scale battery datasets – one of the hottest fields (EV, energy storage).

· Clear career growth path to Mid-level AI Engineer within 2–3 years.

· Opportunities to join workshops and seminars on Battery AI and Machine Learning.

· As a privately-owned company, Arbin promotes a family/team-oriented culture with regular company-wide events and a friendly atmosphere

· Arbin offers a great balance of work and leisure whether you enjoy the great outdoors and indoors

· Full salary probation (02 months)

· Good career growth opportunities with interesting and challenging projects

· Competitive salary depending on skills and capabilities

· Engage in our abroad training programs which surely help strengthen both your personal and professionalism (if any requirement from Headquarter)

· Additional bonuses based on performance

· English-speaking environment, with opportunity to be part of innovation team and work in global projects

· Tea break time with light beverage and food for staffs

· Working time: Monday-Friday 8:00-17:30 (Flexible), lunch time: 1,5 hours

· 12-days annual leave same law

· 10 days WFH per year (up to supervisor's approval

3. Requirements
Must-have:

· Fresh graduate or 2–3 years of experience in AI/ML/Data Science.

· Proficient in Python, experienced with NumPy, Pandas, Matplotlib/Seaborn.

· Hands-on project experience with Scikit-learn (Regression, Classification, Clustering).

· Basic understanding of Deep Learning (PyTorch or TensorFlow).

· Ability to read and understand English technical papers.

· Strong logical thinking, eager to learn, and open to new research domains.

Nice-to-have:

· Project experience with time-series data (forecasting, sensor data).

· Knowledge of LSTM, GRU, CNN-1D.

· Experience with energy/battery/IoT sensor datasets.

· Familiarity with LLMs (Large Language Models) for supporting tasks like data analysis, literature review, and report writing.

- CV (requires a formal photo)
- CCCD (notarized copy)
- Personal resume
- Health certificate (Not more than 6 months)
- Relevant qualifications (notarized copy)

- Hồ Chí Minh: 205 đường GS1, Phường Dĩ An
- Đà Nẵng: tòa báo nhân dân, Phường Hải Châu
- Hà Nội: Toà CT7F, KĐT mới Dương Nội, phường Dương Nội, quận Hà Đông, Phường Hà Đông