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Additionally, you will collaborate with teammates and platform teams to develop ML tooling and infrastructure for scalability. Our platform does what legacy observability and monitoring tools can’t: we eliminate the gaps between system performance, user experience, and engagement, enabling issue identification, impact assessment, and root cause resolution in seconds.
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Engage in continuous learning to stay abreast of the latest developments in mobile health technology, data science, and machine learning. ⢠Develop on-device data visualization and machine learning models for personalized feedback and adaptive interventions.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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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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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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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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We are looking to hire a permanent placement role for a Mid-Level Machine Learning/Data Scientist Engineer to join our hybrid company in Houston, Tx. Candidates should be interested in building intelligent space systems to modernize satellites' operations.
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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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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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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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machine learning jobs Title: platform engineer Company: Baird
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