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Lead Machine Learning Architect

Tiger AnalyticsRemote — New Jersey, United States
Remote Full-time

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Experience Level

Senior

Qualifications

In this position, you will be expected to:Architect ML and AI-driven solutions across diverse business verticals. Lead discussions on ML system design and make pivotal design decisions regarding model serving, data pipelines, and MLOps frameworks. Design scalable and secure cloud-native platforms for ML model training, validation, deployment, and monitoring utilizing AWS, GCP, or Azure. Develop reusable components and reference architectures for different stages of the ML lifecycle. Establish and uphold best practices related to model versioning, CI/CD for ML, testing, and rollback strategies. Deploy and manage machine learning and data pipelines in production settings. Engage in containerization and orchestration solutions for model deployment. Adapt to changing project requirements through rapid iteration cycles. Work collaboratively within an Agile framework to enhance software that supports cutting-edge big data and ML applications. Team up with data scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting, and automated model deployment. Effectively communicate the context of problems to global teams.

About the job

Tiger Analytics, a leading advanced analytics consulting firm, is in search of a highly skilled Principal Data Scientist to join our dynamic team. We pride ourselves on our deep expertise in Machine Learning, Data Science, and AI, serving as a trusted analytics partner to numerous Fortune 500 companies. Our commitment to delivering business value through data has earned us recognition from prestigious market research firms like Forrester and Gartner.

As we expand our global analytics consulting team, we seek exceptional talent. In this role, you will:

  • Design and implement end-to-end machine learning solutions across various business sectors, demonstrating over 10 years of experience in data science, machine learning, and MLOps.
  • Act in a strategic capacity while collaborating closely with data scientists, engineers, product teams, and business stakeholders to create robust and scalable architectures aligned with business objectives.
  • Leverage your analytical skills to engage with cross-functional teams and business partners, driving strategies that maximize business value and effectively communicate outcomes.

About Tiger Analytics

Tiger Analytics is a premier advanced analytics consulting firm renowned for its expertise in Machine Learning, Data Science, and AI. We partner with Fortune 500 companies to drive significant business outcomes through data-driven insights. Our leadership and innovation in the analytics space have been recognized by Forrester and Gartner.

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