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

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.