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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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Hands-on - Design, develop, and implement Business Intelligence solutions using reporting tools like IBM Cognos, Tableau, Power BI to turn raw data from databases like AWS RedShift, IBM DB2, Oracle, Aurora and MS SQL Server.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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MLOps and Deployment: Hands-on experience in deploying machine learning models using CI/CD pipelines, containers (Docker, Kubernetes), and APIs for serving LLM/NLP models at scale.
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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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As the Data Science team in Global Infrastructure Product Services embarks on building and deploying machine learning(ML) models, we are looking for a senior machine learning engineer (MLE) to build /utilize robust date andMLOps pipelines to deploy and monitor models in prouction.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead and participate in solutioning sessions, working hand-in-hand with business / client, translating business objectives into actionable machine learning / data science use case.
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Practical success in data engineering, applying the latest machine learning/deep learning (ML/DL) approaches to production scale problems. You should have strong initiative, a detailed knowledge of image processing, photogrammetry, and machine/deep learning techniques, as well as an interest in realistic, high quality facial performance capture.
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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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Expertise in fundamental data analysis, machine learning, and statistical modeling techniques. Lead data science projects from inception to completion on topics such as consumption and revenue forecasts, digital advertising forecasts, global trends analysis, business performance trends, and more.
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Develop innovative techniques to quantify operational risk events including using machine learning and models to calculate residual risks based on incident and control data.
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Open research questions on the team span: human motor learning and control; the generation and propagation of the EMG signal; design and optimization of sensor array hardware; and the development of algorithms for processing sensor data to infer user intent using principles of signal processing, control theory, and human-computer interaction.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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hands on machine learning data engineering business intelligence jobs Company: Alberici Constructors in New York, NY
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