Battery Intelligence Engineer (Intern / Freelance / Part-Time)

Singapore, Singapore

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Datakrew Pvt. Ltd.

Elevate your electric mobility with Datakrew's advanced EV Battery Intelligence Solutions. Our platform delivers unparalleled insights into battery health, predictive maintenance, and optimal performance for EV fleet operators and OEMs. With...

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Company Description

About Datakrew

Datakrew is revolutionizing EV fleet intelligence with cutting-edge IoT/AI solutions. Our flagship product, ITUS EV Scanner, provides deep insights into electric vehicle (EV) performance and diagnostics. We are looking for a hands-on Field IoT Engineer to perform ITUS installations, analyze CANBus data, and support EV fleet operators and workshops. The ideal candidate should have a strong understanding of CANBus, Modbus, IoT communication, and device configurations, and should be comfortable working onsite at customer locations to ensure seamless integration and troubleshooting.

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

If you’re a motivated student or early-career engineer with strong analytical fundamentals and interest in the EV or battery analytics domain, we welcome your application.

  • 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.

Job stats:  10  2  0
Category: Engineering Jobs

Tags: Architecture GitHub LSTM Machine Learning ML models NumPy Pandas Physics Pipelines Predictive Maintenance Python PyTorch Research Scikit-learn SQL Statistics TensorFlow XGBoost

Perks/benefits: Flex hours

Region: Asia/Pacific
Country: Singapore

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