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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.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Software Development
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Medical insurance
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401(k)
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