About this opportunity
Andiamo lists this Data Scientist opportunity in houston, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
What You’ll Work On
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 TensorFlow
Collaborate with domain experts and engineering teams on production AI systems
Required Experience
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:
PyTorch
TensorFlow
Experience fine‑tuning or implementing transformer/LLM models
Experience validating and optimizing models using real‑world datasets
Strong Plus
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
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Worksite address
houston, TX, 77246, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.