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 Full Stack Developer 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.

Tech Stack:

Languages: Python, Java
ML Frameworks: TensorFlow, PyTorch, Scikit-learn
Databases: BigQuery, PostgreSQL, Redis, MongoDB
Cloud & DevOps: Kubernetes, Docker, Terraform, GCP, AWS
MLOps Tools: MLflow, Kubeflow, Airflow
AI Tools: GitHub Copilot, Cursor AI, Otter AI, ChatGPT
NLP & LLMs: GPT, BERT, Transformer architectures
CI/CD & Automation: GitHub Actions, Jenkins

What You Bring:

Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!
5+ 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.

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

This is a hybrid position, candidates must be located in the Bay Area, CA; Charlotte, NC; Denver, Colorado; and Atlanta, Georgia unless listed otherwise

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

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