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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. We are seeking an experienced Machine Learning Engineer (MLE) Manager to join our team.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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The Machine Learning Engineer role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports datasets and predictions with high accuracy and low latency.
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Familiarity with modern deep learning architectures including CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning.
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The Structural and Computational Biology (SCB) group within Prescient Design seeks exceptional researchers who have a demonstrated research background in protein structural biology and design, machine learning, and project management, a passion for research and technical problem-solving, and a proven ability to implement ideas and apply methods.
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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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Machine learning operations (mlops) engineer. Programming Skills: Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers.
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We are seeking an experienced and dedicated Machine Learning Engineer to join this dynamic team on a fully remote basis. ● Develop and optimize data pipelines using SQL, BigQuery, PostgreSQL, and Cloud Data Fusion to support the end-to-end machine learning workflow.
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Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference. Design and develop machine learning and deep learning systems using appropriate ML algorithms/frameworks.
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machine learning jobs Title: travel nurse er in Laramie, Wyoming
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