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Machine Learning Engineer - Remote

Posted 10 weeks ago
Software Development
Full Time
USA

Overview

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

In Short

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
  • Creating Scalable Machine Learning systems
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed
  • Collaborating with cross-functional teams and business partners
  • Driving current and future strategy by leveraging analytical skills
  • Ensuring business value and communicating results

Requirements

  • Experience in Machine Learning and Data Science
  • Proficiency in Gen AI technologies
  • Strong coding skills in relevant programming languages
  • Experience with data pipeline construction
  • Ability to work collaboratively in teams

Benefits

  • Opportunity to work with Fortune 500 companies
  • Recognition by market research firms
  • Fast-growing company with career advancement opportunities
Tiger Analytics logo

Tiger Analytics

Tiger Analytics is an advanced analytics consulting firm that partners with Fortune 100 companies to unlock business value from data. With a strong focus on Data Science, Machine Learning, and AI, the company is recognized for its leadership and expertise by prominent market research firms like Forrester and Gartner. Tiger Analytics seeks professionals who possess a blend of business consulting skills and data analytics experience, emphasizing the importance of translating complex business problems into actionable analytics solutions.

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