Role overview
- 5+ years of direct experience delivering production AI/ML solutions.
- Expertise in one or more of the following: NLP/GenAI, time series, optimization, commercial analytics, subsurface/wells, computer vision.
- Strong foundations in statistics, probability, and algorithm design.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) experience with Databricks/Spark.
- Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
- Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
- Excellent communication and collaboration skills.
What you'll work on
- Generative AI & NLP (LLMs, agentic workflows)
- Time Series Forecasting & Anomaly Detection
- Optimization & Prescriptive Analytics
- Commercial Analytics (pricing, marketing, supply chain)
- Subsurface & Wells (physics-informed ML, production optimization)
- Computer Vision & Document Intelligence
You will work end-to-end—from problem framing and experimentation through production and sustainment—partnering with engineers and business stakeholders to deliver scalable, reliable, and impactful solutions.
What we're looking for
- Cloud platforms (Azure ML, Azure OpenAI, Databricks).
- Commercial domain experience (pricing, forecasting, supply chain) or energy/subsurface expertise.
- Knowledge graphs, hybrid search/RAG, and semantic technologies.
- Agile development and software engineering best practices.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Data Science Nlp Computer Vision Mlops Generative Ai Pytorch Tensorflow