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.
