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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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Use techniques which includes (but not limited to) Natural Language Processing, Machine Learning, Data Pipelining to build scalable models while also building Data Pipelines & platform to operationalize the models at scale using Domino Data-lab & Apache Airflow.
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Keywords:Boston MA Jobs, Software Manager, UI, User Interface, JavaScript, React, Redux, HTML, CSS, Bootstrap, Java, PHP, Python, AWS, PaaS, SaaS, IaaS, AppSync, Lambda, Cognito, BeanStalk, CloudWatch, CloudMonitor, EC2, S3, VPC, SQL, MySQL, AWS-RDS, DynamoDB, AWS-Elastic Cache, ETL, Data Lakes, AI, Artificial Intelligence, ML, Machine Learning, Data Science, Agile, Waterfall, Work From Home, Remote, Massachusetts Recruiters, Information Technology Jobs, IT Jobs, Massachusetts Recruiting.
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B2C/B2B portal is built with React on an open-source headless CMS framework as-a-backend (Liferay) hosted on AWS.The service portal is built in with React on top of Lambda/AppSync AWS PaaS/IaaS.Full reporting suite across all databases, analytics, web-analytics, and unstructured data (MetaBase.
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Data analytics project experience using Python, SQL, or R.Experience using a variety of data mining/data analysis/machine learning methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
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Experience in Analytics/ BI; Data Visualization, Machine Learning, NLP, Robotic Process Automation a plus. We are looking for a Product Manager to join our team chartered with building our strategic unified content asset management platform, Iron Mountain InSight DXP, a key component of our Digital Business Unit strategy that enables customers’ digital transformation, automation and data monetization.
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For this role, you will also need a firm understanding of content writing, natural language processing, linguistics, and machine-learning. Understanding of AI technology, machine-learning, natural language processing, and a keen interest in exploring their potential applications with AI-generated content.
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Experience with machine learning techniques (e.g., regression, decision trees, cluster analysis) using Python or other statistical programming packages such as R, SAS, Matlab. Experience with machine learning techniques and experimental design.
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We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
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KEY QUALIFICATIONS: Python, SQL Data processing and Machine Learning experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics / Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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With our next generation of subsea vehicles, such as the Liberty E-ROV and Freedom AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance.
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