iTradeNetwork, Inc.
Overview
Join to apply for the
Machine Learning Engineer
role at
iTradeNetwork, Inc. This range is provided by iTradeNetwork, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$150,000.00/yr - $164,000.00/yr Additional compensation types
Annual Bonus About iTradeNetwork
At iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious:
To feed the world.
From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact. Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers. JOB SUMMARY
Are you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a
Machine Learning Engineer
who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth. Key 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. Languages:
Python, Java ML Frameworks:
TensorFlow, PyTorch, Scikit-learn AI Tools:
GitHub Copilot, Cursor AI, Otter AI, ChatGPT CI/CD & Automation:
GitHub Actions, Jenkins What you’ll need
Bachelor’s degree in Computer Science, Engineering, or 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. If you are a highly motivated and results-driven individual, with a passion for driving growth in a fast-paced, entrepreneurial environment, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work culture that values collaboration, innovation, and personal development. Why you will love working here
Competitive salary packages Comprehensive medical, dental, vision, and life insurance benefits for you and your family Flex PTO for exempt employees and competitive PTO for non-exempt Paid parental leave for eligible employees 401(k) matching Tuition reimbursement on approved programs Great health & well-being benefits including Teladoc for general medical and mental health care These benefits are only applicable to full-time employees All iTradeNetwork positions are hybrid unless listed otherwise; candidates must be located in the hub(s) listed. Additional Requirements
Must be able to demonstrate lawful ability to work in the United States iTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability Seniority level
Mid-Senior level Employment type
Full-time Job function
Software Development, Transportation, Logistics, Supply Chain and Storage, and Food and Beverage Services All content preserved from the original description has been refined to meet formatting guidelines. This version excludes extraneous postings and non-essential sections while preserving the core responsibilities and qualifications.
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Join to apply for the
Machine Learning Engineer
role at
iTradeNetwork, Inc. This range is provided by iTradeNetwork, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$150,000.00/yr - $164,000.00/yr Additional compensation types
Annual Bonus About iTradeNetwork
At iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious:
To feed the world.
From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact. Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers. JOB SUMMARY
Are you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a
Machine Learning Engineer
who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth. Key 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. Languages:
Python, Java ML Frameworks:
TensorFlow, PyTorch, Scikit-learn AI Tools:
GitHub Copilot, Cursor AI, Otter AI, ChatGPT CI/CD & Automation:
GitHub Actions, Jenkins What you’ll need
Bachelor’s degree in Computer Science, Engineering, or 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. If you are a highly motivated and results-driven individual, with a passion for driving growth in a fast-paced, entrepreneurial environment, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work culture that values collaboration, innovation, and personal development. Why you will love working here
Competitive salary packages Comprehensive medical, dental, vision, and life insurance benefits for you and your family Flex PTO for exempt employees and competitive PTO for non-exempt Paid parental leave for eligible employees 401(k) matching Tuition reimbursement on approved programs Great health & well-being benefits including Teladoc for general medical and mental health care These benefits are only applicable to full-time employees All iTradeNetwork positions are hybrid unless listed otherwise; candidates must be located in the hub(s) listed. Additional Requirements
Must be able to demonstrate lawful ability to work in the United States iTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability Seniority level
Mid-Senior level Employment type
Full-time Job function
Software Development, Transportation, Logistics, Supply Chain and Storage, and Food and Beverage Services All content preserved from the original description has been refined to meet formatting guidelines. This version excludes extraneous postings and non-essential sections while preserving the core responsibilities and qualifications.
#J-18808-Ljbffr