7 Bayesian Inference Jobs

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions ...

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

On a typical day at XPO India Shared Services, you will be responsible for conceiving and developing end-to-end solutions with a focus on Data Science and Engineering. This will involve utilizing Artificial Intelligence, Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Generative AI, Software Development, Cloud Computing, and Visualizations. Your primary objective will be to troubleshoot technical issues in existing processes and current development work, seeking assistance from other roles and groups as needed to ensure the integrity of platform quality and project timelines. In addition, you will work on improving shared standard patterns, templates, and a...

As a quantitative researcher at Winbold, you will have the opportunity to work on stock market data to research and develop quant and machine learning models for stock trading. Your responsibilities will include data science and analytics of stock market data, building models to identify correlations and causations, developing decision models and risk models for stock trading, and creating models that translate mathematical analysis into trade decisions. The ideal candidate must possess a strong background in advanced statistical analysis of large datasets and be well-versed in core quant concepts such as Bayesian inference, 2 phase stochastic optimization, and related techniques. Additional...

You are looking for a Lead Data Scientist with over 10 years of experience in the field. The ideal candidate should have a Master's or PhD in Computer Science, Mathematics, Statistics, or a relevant field. In this role, you will be responsible for leading the development of next-generation Analytics and Machine Learning software. Your primary responsibilities will include utilizing your strong expertise in Statistics, Mathematics, and Engineering to spearhead the development process. Experience in Bayesian modeling and Probabilistic modeling is essential. You should also have experience working with Python and one of the popular probabilistic programming systems such as Pyro, PyMC, or Stan. ...

As a collaborative team member, you will be responsible for analyzing problems, writing functions/scripts to build datasets, conducting model building and testing, writing informal reports for internal use, and working with developers and implementation engineers to specify database models and determine algorithm implementations. You should possess 3-5 years of experience in data analysis and methodologies, along with a background in building time series and exposure to prediction modeling. Proficiency in R and Matlab, as well as knowledge of Bayesian inference, are essential for this role. Additionally, strong communication skills will be beneficial in effectively carrying out your responsi...

As a Senior Statistician at Rhythm, you will play a crucial role in leading statistical research, designing experiments, and developing predictive models to ensure robust data-driven insights. Your responsibilities will involve collaborating closely with data scientists, AI engineers, and business stakeholders to build scalable and interpretable statistical models that support Rhythm Innovations" AI initiatives. Your expertise in statistical methodologies and machine learning will be instrumental in enhancing the accuracy, reliability, and fairness of AI-driven solutions. Analyzing customer data to identify patterns, establish correlations, and derive actionable insights to enhance AI soluti...