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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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Statistical methods (e.g. Adaptive designs, Bayesian methods, AI/machine-learning, synthetic control, predictive modeling. - Actively supports in the evaluation, introduction, development and education of novel statistical and machine learning/deep learning approaches.
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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Experience working in vector databases like Milvus, Pinecone, or Weaviate Experience using machine learning in data pipelines to discover, classify, and clean data.
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In this role, the Senior Fullstack Engineer will leverage Java, Springboot, React, Kubernetes, Databricks, and AWS services to build a brand new web based workstation to be used by Data Engineers and Machine Learning Engineers.
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Implement statistical Machine Learning models for prediction and forecasting. Our corrugated packaging business seeks to be the leader in helping our customers — large and small — package, transport and display products of all kinds.
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The work will require collaboration with other full stack engineers, data engineers and machine learning engineers. Understanding of producer/consumer design patterns and messaging frameworks like Kafka Built software that runs in the cloud, such as AWS or Google cloud and understand cloud native design patterns.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. Senior Machine Learning Engineer (Python, Spark, MLOPS, Cloud) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Machine Learning, Artificial Intelligence. Individuals interested in the IT Intern Program must currently be pursuing Bachelors (Sophomore or Junior Status) or Masters degree in an IT related discipline or formal focus area.
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Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior.
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In-depth knowledge of widely used machine learning frameworks such as TensorFlow, PyTorch, scikit-learn. Experience in the deployment of machine learning models and monitoring in-production models.
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Demonstrating mastery across a wide range of data and software engineering, including data warehousing, data integration, data visualization and analysis, software development, statistics, and machine learning.
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Join our dynamic team as full-time Machine Learning Scientist for a hybrid position located in Lake Forest, IL. In this role, you'll be a vital part of a dynamic R&D team, connecting scientists in medicinal and computational chemistry.
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Rives and advances medical safety capability and capacity both strategically and with innovative approaches, including exploring future technologies (AI, machine learning, digital health tools, etc.
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Evaluates and recommends: upcoming industry trends, best practices, cutting-edge tools and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing.
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Machine Learning Models: Supervised, Unsupervised, Large Language Models. Experiences and Skills: Python, R, SQL, ETLs, Tableau. Intermediate-level proficiency in SAS, R, python, shell scripting or other programming languages.
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machine learning jobs in Waukegan, IL
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