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.What You’ll Work OnBuild and train deep learning models for time-series and multi-modal sensor dataDevelop forecasting, anomaly detection, and predictive maintenance systemsWork with large-scale operational telemetry data including pressure, temperature, vibration, and sequential sensor streamsExperiment with and fine-tune Transformer-based architectures and modern AI/LLM systemsDesign and evaluate models using frameworks such as PyTorch or TensorFlowCollaborate with domain experts and engineering teams on production AI systemsRequired ExperienceStrong hands-on experience training deep learning models (not just integrating APIs or building pipelines)Experience building models using:TransformersLSTMsCNNsTime-series forecasting architecturesExperience working with:sequential/time-series datatelemetry or sensor dataanomaly detectionforecasting systemspredictive maintenanceStrong Python and ML framework experience:PyTorchTensorFlowHuggingFaceExperience fine-tuning or implementing transformer/LLM modelsExperience validating and optimizing models using real-world datasetsStrong PlusExperience training or contributing to foundation-style modelsIndustrial AI, drilling, manufacturing, IoT, robotics, or operational telemetry experienceExperience with distributed training, GPU optimization, or large-scale inference systemsRAG, embeddings, or vector database experience