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Machine Learning Engineer

Machine Learning Engineer

Jobright.aiSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

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Job Summary :

iTradeNetwork, Inc. is a company dedicated to providing advanced supply chain software and insights tailored to the food & beverage industry. They are seeking a Machine Learning Engineer who will design, develop, and deploy scalable machine learning solutions to drive growth and impact within their innovative team.

Responsibilities :

  • Build the Future : Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment.
  • AI-First Development : Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation.
  • Rapid Prototyping : Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools.
  • ML & Data Pipelines : Build and optimize data pipelines for efficient ingestion, transformation, and analysis.
  • LLM Integration : Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems.
  • MLOps Excellence : Design, develop, and implement CI / CD pipelines for continuous deployment and monitoring of machine learning models.
  • Cloud-Native Development : Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure.
  • Collaboration : Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions.
  • Solve Complex Problems : Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems.

Qualifications : Required :

  • Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!
  • 8+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering.
  • Proven ability to develop and deploy ML models with minimal requirements.
  • Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge).
  • Expertise in Python and Java for building production-grade ML systems.
  • Strong experience with cloud platforms like GCP, AWS, or Azure.
  • Deep understanding of MLOps best practices, including CI / CD pipelines and model monitoring.
  • Ability to quickly understand and implement complex data models and algorithms.
  • Strong problem-solving, analytical thinking, and debugging skills.
  • Excellent communication and collaboration abilities.
  • Must be able to demonstrate lawful ability to work in the United States
  • Company :

    iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. Founded in 1999, headquartered in Pleasanton, California, USA, team size 51-200 employees, currently Growth Stage. iTradeNetwork, Inc. has a track record of offering H1B sponsorships.

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