Everseen
Machine Learning Platform / Backend Engineer
Everseen, Belgrade, Missouri, United States, 63622
Everseen: A leader in vision AI solutions for the world’s leading retailers.
The Role We are seeking a Machine Learning Platform/Backend Engineer to design, build, and maintain scalable infrastructure that empowers our data scientists and machine learning engineers to develop, train, benchmark, and monitor machine learning models efficiently. You will be instrumental in shaping our internal Machine Learning Platform and driving automation, reproducibility, and performance across the machine learning lifecycle.
What you’ll do
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure).
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring.
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines.
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries).
Document architecture, policies, and operational runbooks to ensure platform maintainability and transparency.
Contribute to CI/CD pipelines for ML models, integrating automated testing, deployment, and rollback mechanisms.
Build reusable components for data ingestion, model training.
Ensure compliance with data governance, security, and audit requirements.
Collaborate with
AI/ML Engineering team
Data Engineering team
Software Development Engineers
DevOps team
Product Managers
Security & Compliance Teams
Profile and Skills
Strong programming skills (Python)
Hands‑on experience with Kubernetes, Docker, and cloud services.
Experience with CI/CD tools (e.g., GitLab, Jenkins).
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Excellent communication and collaboration skills.
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML).
Additional Skills
Understanding ML lifecycle, model versioning, and monitoring.
Experience with ML frameworks (e.g., TensorFlow, PyTorch).
Experience with GPU orchestration (e.g., NVIDIA GPU Operator, MIG).
Experience with Infrastructure as Code (e.g., Terraform).
Knowledge of data engineering tools (e.g., Snowflake, Databricks, BigQuery, Airbyte, Kafka).
Familiarity with feature stores and model registries.
Exposure to large‑scale distributed systems and performance optimization.
About Everseen Everseen is a leader in vision AI. We are transforming business operations for global retailers, driving measurable business value and improving the customer experience.
We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our mission is to protect people, process, products and profitability within the retail sector and beyond.
We are trusted by major food, drug, mass, and specialty retailers around the world—including Kroger, Meijer, and Woolworths—and partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell.
We are operationalizing vision AI at an unprecedented scale with the largest global footprint of edge AI‑powered Computer Vision in Retail.
Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 900 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain.
Key Numbers Top 11
Trusted by 11 of the top 20 global grocery retailers
120,000+
Edge AI Endpoints Worldwide
+3x ROI
Delivering Market's best ROI
Our Commitment Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion.
Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.
#J-18808-Ljbffr
The Role We are seeking a Machine Learning Platform/Backend Engineer to design, build, and maintain scalable infrastructure that empowers our data scientists and machine learning engineers to develop, train, benchmark, and monitor machine learning models efficiently. You will be instrumental in shaping our internal Machine Learning Platform and driving automation, reproducibility, and performance across the machine learning lifecycle.
What you’ll do
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure).
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring.
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines.
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries).
Document architecture, policies, and operational runbooks to ensure platform maintainability and transparency.
Contribute to CI/CD pipelines for ML models, integrating automated testing, deployment, and rollback mechanisms.
Build reusable components for data ingestion, model training.
Ensure compliance with data governance, security, and audit requirements.
Collaborate with
AI/ML Engineering team
Data Engineering team
Software Development Engineers
DevOps team
Product Managers
Security & Compliance Teams
Profile and Skills
Strong programming skills (Python)
Hands‑on experience with Kubernetes, Docker, and cloud services.
Experience with CI/CD tools (e.g., GitLab, Jenkins).
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Excellent communication and collaboration skills.
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML).
Additional Skills
Understanding ML lifecycle, model versioning, and monitoring.
Experience with ML frameworks (e.g., TensorFlow, PyTorch).
Experience with GPU orchestration (e.g., NVIDIA GPU Operator, MIG).
Experience with Infrastructure as Code (e.g., Terraform).
Knowledge of data engineering tools (e.g., Snowflake, Databricks, BigQuery, Airbyte, Kafka).
Familiarity with feature stores and model registries.
Exposure to large‑scale distributed systems and performance optimization.
About Everseen Everseen is a leader in vision AI. We are transforming business operations for global retailers, driving measurable business value and improving the customer experience.
We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our mission is to protect people, process, products and profitability within the retail sector and beyond.
We are trusted by major food, drug, mass, and specialty retailers around the world—including Kroger, Meijer, and Woolworths—and partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell.
We are operationalizing vision AI at an unprecedented scale with the largest global footprint of edge AI‑powered Computer Vision in Retail.
Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 900 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain.
Key Numbers Top 11
Trusted by 11 of the top 20 global grocery retailers
120,000+
Edge AI Endpoints Worldwide
+3x ROI
Delivering Market's best ROI
Our Commitment Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion.
Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.
#J-18808-Ljbffr