Machine Learning Engineer

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To be considered for an interview, please make sure your application is full in line with the job specs as found below. 1 day ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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 levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles. 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Location:
San Francisco, CA
Salary:
$250
Category:
Engineering

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