Junior AI Engineer

Top 3 reasons to join us
· Working w top global Research & Development Team
· Working in US Based Energy Storage Technology.
· US working standards and styles.
Responsibilities:. Preprocess battery data: normalization, cleaning, handling missing data, and feature extraction.
· Support training and research of Machine Learning / Deep Learning models for:
State of Charge (SoC) prediction
Battery lifetime / Remaining Useful Life (RUL) forecasting
State of Health (SoH) estimation
· Monitor and analyze prediction errors, and propose model improvements based on real- world battery system data.
· Write Python scripts for data visualization, result analysis, and model performance reporting.
· Experiment, evaluate, and benchmark various algorithms: Linear Regression, Random Forest, XGBoost, LSTM, CNN- LSTM, Transformer.
· Participate in research on model optimization, hyperparameter tuning, and improving predictive performance.
· Collaborate with Senior AI Engineers and software development teams to integrate models into the Battery Management System (BMS).
· Assist in developing data pipelines, generating statistical reports, and managing large- scale battery datasets.

Requirements
Must- have:
· Proficient in Python, experienced with NumPy, Pandas, Matplotlib/Seaborn.
· Strong logical thinking, eager to learn, and open to new research domains.
· Hands- on project experience with Scikit- learn (Regression, Classification, Clustering).
· Ability to read and understand English technical papers.
· Basic understanding of Deep Learning (PyTorch or TensorFlow).
· Fresh graduate or 1–2 years of experience in AI/ML/Data Science.
Nice- to- have:
· Knowledge of LSTM, GRU, CNN- 1D.
· Project experience with time- series data (forecasting, sensor data).
· Familiarity with LLMs (Large Language Models) for supporting tasks like data analysis, literature review, and report writing.
· Experience with energy/battery/IoT sensor datasets.

Why you&039;ll love working here
· Clear career growth path to Mid- level AI Engineer within 1–2 years.
· Good career growth opportunities with interesting and challenging projects
· Full salary probation (02 months)
· Work on large- scale battery datasets – one of the hottest fields (EV, energy storage).
· Opportunities to join workshops and seminars on Battery AI and Machine Learning.
· Receiving $90/month phone, transportation expense after 3 months full- time working (including 02- months probation)
· 12- days annual leave + 5- days sick leaves
· Additional bonuses based on performance
· Arbin offers 02 new Full HD 27 inch monitor screen and 01 DELL laptop 1TSSD per staff
· Arbin offers a great balance of work and leisure whether you enjoy the great outdoors and indoors
· Engage in our abroad training programs which surely help strengthen both your personal and professionalism (if any requirement from Headquarter)
· English- speaking environment, with opportunity to be part of innovation team and work in global projects
· Working time: Monday- Friday 8:00- 17:30 (Flexible), lunch time: 1,5 hours
· Tea break time with light beverage and food for staffs
· Competitive salary depending on skills and capabilities
· 10 days WFH per year (up to supervisor&039;s approval
· As a privately- owned company, Arbin promotes a family/team- oriented culture with regular company- wide events and a friendly atmosphere

Cập nhật gần nhất lúc: 2025-10-03 19:45:03