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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning. Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles. We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will also have opportunities to work across the entire machine learning lifecycle.
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Insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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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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Matt has deep expertise in computer graphics and machine learning, and previously led the engineering team at Operator. Enable the Facet team to easily develop and deploy new machine learning capabilities at scale.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Contribute to machine learning and large language model (LLM) pipelines and APIs, including OpenAI (GPT-3.5 and GPT-4), Azure (OpenAI), Anthropic (Claude), and others. Provision of anything you need to be successful - learning tools, hardware, office equipment, software.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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Implement data collection frameworks, curate datasets, perform pre-processing/feature extraction, and build machine learning models for EMG decoding. Familiarity with machine learning and data science packages such as PyTorch and Pandas.
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As a Senior / Principal Machine Learning Engineer with the Creator Services Natural Language Processing Team, you will build NLP, speech and generative AI models and products and bring the latest machine learning technology to our creators and help them create experiences at scale.
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Architect scalable and maintainable microservices using Scala, Java, or Python to support machine learning workflows. The ideal candidate will have extensive experience in developing end-to-end machine learning applications and possess a strong background in designing and implementing microservices using Scala, Java, or Python.
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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machine learning jobs Title: data big Company: Booz Allen Hamilton in South San Francisco, CA
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