Everseen: A leader in vision AI solutions for the world’s leading retailers.
The role:
We are seeking an experienced software engineering lead for the Everseen ML Operations department. You and your team will extend the capabilities of our scalable ML Ops infrastructure that empowers our data scientists and machine learning engineers to develop, train, benchmark, and monitor our machine learning models efficiently. You will be instrumental in enhancing our internal Machine Learning Platform and driving automation, reproducibility, and performance across the machine learning lifecycle.
What you’ll do:
Leadership
Manages and leads the function/specialism reporting to them from both an operational and strategic perspective.
Has overall responsibility for the successful operation of the function/specialism deliverables.
Deals with all capacity planning activities.
Sets strategy and makes key decisions for the success of the function/specialism.
Works with senior leadership to set strategic goals for their team and cascades these down.
Monitors and supports team members' career paths. Evaluates team members' performance and proposes promotions.
Assesses and proposes team headcount adjustments based on project roadmaps and team capacity.
Teaching and Sharing Culture
Ensures the sharing of skills, knowledge, and expertise between members of the engineering team.
Fosters a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions.
Design and Development
Coordinates and drives progress with cross‑functional teams in designing and developing new features and functionalities.
Ensures that the developed solutions meet project objectives and enhance user experience.
Has decisional authority over the technology stack and internal technical improvements.
Coding
Ensures design and implementation of reusable, testable, efficient, and elegant code based on requirements and a longer‑term product and feature strategy.
Ensures adherence to coding standards and best practices.
Continuous Integration and Continuous Deployment (CI/CD)
Ensures adoption and implementation of CI/CD principles using industry standards and best practices.
Integration of Third‑Party Solutions
Ensures the evaluation, integration, and maintenance of third‑party software solutions to optimize system performance.
Ensures the expansion of product capabilities by integrating compatible third‑party solutions. Be aware of and promotes best practices.
Monitoring and Troubleshooting
Ensures seamless operation and timely resolution of any anomalies to maintain system reliability.
Documentation
Responsible for defining documentation strategies, ensuring alignment with organizational goals, and overseeing the consistency, quality, and accessibility of technical documentation across teams.
Profile and skills
5+ years of experience in either ML infrastructure, MLOps, or Platform Engineering.
5+ years of experience in leadership roles.
Inspirational leadership, strategic vision, culture‑shaping approach.
Strong programming skills – Python / Go.
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).
Proven ability to monitor and optimize cloud cost.
Good understanding of data privacy, RBAC, and model governance.
Additional Skills
Experience in Microsoft Azure or Google GCP cloud infrastructure and Machine Learning tools.
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—we also 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.
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