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As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and generative AI. As a member of our team, you will exercise and grow your expertise in those areas, using open-source projects such as Apache Spark™, Delta Lake and MLflow.
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10+ years of hands-on experience as a Solution Architect, Enterprise Architect, or Principal Data Architect for large-scale enterprise solutions, with a strong focus on agile practices.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. 15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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We’re looking for a Materials Research Associate / Chemist with experience in material science (e.g. polymer chemistry), chemical formulation or green chemistry to support the development of our biodegradable foaming solution.
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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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What you’ll do: AI Solution Development: Design and develop AI-based solutions leveraging available Generative AI (Gen AI) LLMs and/or natural language processing as applicable, to enable enhanced risk reporting, conversational risk analysis/commentary, and automated risk management processes Data Handling and Preprocessing: Work with large structured/unstructured data sets, performing data sourcing, preprocessing, tokenization, and feature extraction to prepare data for Gen AI adoption.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Seamless integration with On-prem databases and Power BI reports Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
$100,940 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with ROV survey data processing software. Technical Expertise : Advanced knowledge of ROV survey data acquisition, reporting, and processing. Bachelor's degree or higher in Engineering, Project Management, Hydrographic Surveying, or a related field is required.
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Trace, ink or using GIS software to prepare drawings and maps from data collected or using Inflow/Infiltration (I&I) drawing and sewer map; review and interpret drawings and specifications; perform inspections and dye-tests; participate in various related tasks to identify source(s) of dry-weather discharge for abatement.
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