Battery Intelligence Engineer

1 week ago

Singapore DataKrew Pvt. Ltd. Full time

**Company Description** About Datakrew**

**Job Description** Responsibilities**:

- Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction.
- Analyze large-scale battery performance data to extract actionable insights.
- Develop anomaly and event detection algorithms for safety-critical battery threats.
- Create predictive maintenance models to forecast battery failures and degradation.
- Validate and benchmark model performance using real-world and simulated datasets.
- Work with the product team to ensure integration of developed models.
- Stay updated with the latest research in battery modeling and machine learning techniques.
- Research and collaborate with the team to incorporate electrochemical knowledge into ML models.

**Qualifications** Preferred Skills & Tools**:

- Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow)
- Strong grasp of time-series modeling, signal processing, and statistical evaluation
- Familiarity with LSTM, GRU, transformer models, or forecasting pipelines
- Good understanding of battery systems: SOC, SOH, DOD, thermal behaviour, lifecycle stressors
- Experience working with EV, IoT, or BMS datasets (even in academic projects)
- SQL basics for querying historical telemetry

**Nice to Have**:

- Familiarity with Kalman filters, physics-informed models, or hybrid ML-physics methods
- GitHub portfolio or academic project code repos
- Knowledge of EV architectures or energy storage standards

**Additional Information**
- Engagement Model:

- Flexible remote work
- Duration: 2-4 months (extendable)
- Paid or unpaid depending on engagement scope and experience
- Letter of experience / recommendation available

Datakrew is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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