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Experience working with Machine Learning Systems like Databricks, Feature Stores, MLOps is preferred. You will develop reliable, and large-scale data processing pipelines, Foundational architectural components, reusable frameworks, and Data Models to support Enterprise Data warehouse, Data Lakes, Feature Stores and Machine Learning Platform.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
$175,000 - $225,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Stay up-to-date with the latest trends and technologies in healthcare data analytics, including machine learning, natural language processing, and distributed computing. Experience with data analytics tools and technologies (e.g. Spark, Hadoop, machine learning libraries.
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As the Senior Data Architect, you'll be exposed and contribute to the development and application of innovative technologies such as machine learning, artificial intelligence, and advanced data analytics.
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We are currently seeking a Machine Learning Engineer for our client in the Financial Services domain. Role Description: The Machine Learning Engineer must have at least 6+ years of experience.
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Utilizing Python machine learning, R statistical modeling, data mining, data warehousing techniques, Create data architecture, engineering and migration patterns for MSSQL, MYSQL, Oracle, IBM DB2 assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting Solera Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in AWS.
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Developing machine learning techniques, such as regression, decision trees, probability networks, association rules, clustering, neural networks and Bayesian models, as well as skills in text mining and data visualization using Python or R.
$120,000 - $139,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Data Engineer. Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines. Continuously work alongside machine learning engineers to gather requirements, propose solutions, and implement observable, repeatable, and scalable ML data pipelines.
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This position is a great opportunity to use your machine learning, data engineering, and AWS cloud service skills to enable machine learning as a service at scale at Procore.
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Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) w ith a deep understanding of cloud services, architecture, and scalable solutions.
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PeerNova's main product philosophy is to empower our end users by providing an easy-to-use interface; where technologies such as map-reduce, streaming processing, graph algorithms, and machine learning techniques are applied.
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Narrable focuses on Healthcare, Health Care Information Technology, and B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning. Building software using cloud infrastructure, such as AWS and ECS/EKS.
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Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers. Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks.
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In past lives—we were founding engineers on the Amazon Prime Air team, led autonomy and simulation initiatives at Amazon Robotics, and implemented machine learning solutions from AWS into numerous Fortune 500 companies.
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As a Sr. Data Science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company.
$108,358 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
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