Machine Learning Engineer (San Francisco)

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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:

Bachelors 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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