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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 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 designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Experience with API development using technologies and standards like REST/GraphQL/GRPC or similar Knowledge of one or more common web backend language: e.g., Python, Scala, Java, Javascript (Node.js)Experience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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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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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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The successful candidate should have a high degree of proficiency in Python (or other scientific programming), machine learning libraries, Cheminformatics tools, and cloud computing and be responsible for developing complex workflows to support the selection, design and optimization of peptide modalities and formulations.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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BPS is particularly interested in candidates who are fluent in one of BPS' official languages: Spanish, Creole (Cape Verdean), Creole (Haitian), Chinese, Vietnamese, Portuguese, & Somali. Qualifications - Required Education: High School Diploma or GEDForty-eight (48) Credit Hours of College Coursework or an Associate's Degree, or a passing score on one of the two following Formalized Standardized Assessments: ParaPro Assessment ( ) or WorkKeys Certificate of Proficiency for Teacher Assistants.
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One or more certifications such as CIAM, CIGE or IGA/IAM Tool Specific preferred. Deep working knowledge of at least one IGA tool. We are one of the fastest growing omni-channel furniture retailers in the country with 165 stores in 24 states.
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Other amenities include The Wellness Floor, a five-star urban spa destination; chic restaurants including brunch hotspot One+One; Trifecta, the stunning restaurant and cocktail lounge featuring Boston’s best cocktails and delicious New England fare; and more than 10,000 square feet of dedicated meeting and event space.
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machine learning open source one jobs Company: Simplyapply in Cambridge, MA
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