Top Remote Data Engineer Jobs in Hampton Roads, VA
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
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As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.
Responsible for all aspects of data platform, data integration, and data analytics at NBC Sports Next. Leading improvements of existing data solutions and development of new solutions to address business requirements. Act as a company-wide consultant to solve problems using data-driven decisions.
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Join our Data Engineering team and lead projects end-to-end to build analytical products and make data-driven decisions at scale. Create tools and software frameworks to support engineers and end users. Drive improvements and ensure the usability of analytical data.
Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.
Design and develop data models in Snowflake with DBT, write advanced SQL queries for ELT and data warehousing, collaborate with business partners, promote self-service reporting, and ensure data governance and privacy standards.
Join Iodine Software as a Senior Site Reliability Engineer specializing in managing and growing data platforms. Collaborate with teams on infrastructure projects and provide database performance consultations. Engineer solutions for expanding infrastructure.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
Lead the design and deployment of data pipelines for real-time monitoring services, make recommendations for metrics collection, think creatively about failure scenarios, and implement resilient distributed systems for high reliability in blockchain environments.
Lead and contribute to developing and implementing machine learning models and algorithms for a tech company in the TV advertising industry, focusing on scalability, performance, and innovation. Responsibilities include designing and optimizing models, preprocessing data, deploying models, mentoring junior engineers, and collaborating with cross-functional teams. Requires 10+ years of experience in backend systems with a specialization in machine learning, a degree in Computer Science or related field, familiarity with core ML technologies, and expertise in machine learning algorithms.
Top remote Companies in Hampton Roads, VA Hiring Data + Analytics Roles
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