Engineering Manager

Belgrade
R&D – Engineering - Engineering /
Full Time Permanent /
Hybrid
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 team reporting to them. Manage the day-to-day running of the team and the projects
    • Has overall responsibility for the projects that the team is working on. Acts as a point of escalation for the team.
    • Working with senior leadership to create strategic goals for their team. Measures performance of those goals.
    • Monitors and supports team members' career paths. Evaluate team members' performance and propose promotions.
    • Assesses and proposes team headcount adjustments based on the project roadmap 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 drive 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.
    •  
    • 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.
    •  
    • Integration of Third-Party Solutions
    • Ensures the evaluation, integration, and maintenance of third-party software solutions to optimize system performance.
    • Ensures expansion of product capabilities by integrating compatible third-party solutions. Be aware of and promote.

    • Monitoring and Troubleshooting
    • Ensures seamless operation and timely resolution of any anomalies to maintain system reliability.
    •  
    • Documentation
    • Responsible for ensuring that documentation is clear, comprehensive, and up-to-date while overseeing its creation, maintenance, and adherence to organizational standards.

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.