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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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4+ years of experience implementing and applying algorithms for machine learning and artificial intelligence. Proficiency with standard machine learning tools and frameworks: Python, PyTorch, Huggingface Transformers.
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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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AWS Cloud Engineer w/ Machine Learning Ops. You are familiar with applied data science methods, feature engineering and machine learning algorithms. Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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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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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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As a Machine Learning Engineer, you will play a critical role in the development, deployment, and optimization of machine learning models with a strong emphasis on large language models (LLMs) and MLOps.
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We are seeking a skilled Principal Software Engineer to join our dynamic team of experts in developing cutting-edge machine learning systems for real-world applications. As a Principal Software Engineer, you will be at the forefront of designing, implementing, and maintaining software that integrates advanced machine learning models into scalable, robust, and high-performance production systems.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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machine job Title: devops engineer in Boston, MA
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