7 Bayesian Methods Jobs

at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency more »

PyTorch, etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian inference, time-series analysis etc. Master's or PhD in relevant fields. Working at an early stage tech startup is a bonus Experience more »

training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging more »

battery systems modelling. You have a passion for time-series forecasting and experience bringing time-series forecasts to production. You have experience with Bayesian or probabilistic modelling (e.g. Monte Carlo simulation, MCMC, PyMC, Hidden Markov Models, Stochastic Processes). You have experience bringing your creative output to more »

a client-friendly manner. Experience: Experience in a similar role within a Media Agency environment, delivering MMM and attribution model projects. Proficiency in Bayesian and linear regression approaches; familiarity with other machine learning techniques is advantageous. Extensive experience in data mining and analysis, including designing methodologies to more »

process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design of Experiments approach. Working with clients to increase their sustainability footprint more »

entire lifecycle of data-centric projects, ensuring timely delivery, budget adherence, and alignment with strategic objectives. Innovative Problem Solving: Employ advanced technologies and innovative methods to tackle complex problems in engineering biology. Collaborative Research and Development: Partner with multidisciplinary teams to blend computational tools with laboratory processes, enhancing our … Shiny. Extensive experience with machine learning and deep learning frameworks like JAX, TensorFlow, PyTorch, and Keras. Experience in probabilistic modeling, e.g., Gaussian processes, Bayesian optimization. Strong foundation in mathematical and statistical principles, including linear algebra, calculus, and probability. People Skills: Proactive, with a strong initiative in problem more »