Data Scientist

We are looking for a hands‑on Data Scientist with strong experience building and training deep learning models for time‑series and sensor data applications.

This is NOT a reporting, analytics, or pipeline‑only role. We are specifically looking for candidates who have personally trained, fine‑tuned, validated, and deployed machine learning and deep learning models.

• Build and train deep learning models for time‑series and multi‑modal sensor data
• Develop forecasting, anomaly detection, and predictive maintenance systems
• Work with large‑scale operational telemetry data including pressure, temperature, vibration, and sequential sensor streams
• Experiment with and fine‑tune Transformer‑based architectures and modern AI/LLM systems
• Design and evaluate models using frameworks such as PyTorch or Tensor Flow
• Collaborate with domain experts and engineering teams on production AI systems

• Strong hands‑on experience training deep learning models (not just integrating APIs or building pipelines)
• Experience building models using:
• Transformers
• LSTMs
• CNNs
• Time‑series forecasting architectures
• Experience working with:
• telemetry or sensor data
• anomaly detection
• forecasting systems
• Strong Python and ML framework experience:
• Py Torch
• Tensor Flow
• Experience fine‑tuning or implementing transformer/LLM models
• Experience validating and optimizing models using real‑world datasets

• Experience training or contributing to foundation‑style models
• Industrial AI, drilling, manufacturing, IoT, robotics, or operational telemetry experience
• Experience with distributed training, GPU optimization, or large‑scale inference systems
• RAG, embeddings, or vector database experience