AI/ML Engineer

Everseen: A leader in vision AI solutions for the worlds leading retailers.

The Role

As a Machine Learning Engineer Edge AI & Computer Vision, you will play a pivotal role in developing intelligent systems that operate efficiently on edge devices. You will be responsible for bridging the gap between cutting-edge research and real-world deployment, ensuring that models are not only accurate, but also optimized for performance, scalability, and resource constraints.

This role requires a deep understanding of machine learning, computer vision, and systems engineering, along with the ability to work independently and collaboratively in a fast-paced, agile environment. You will be expected to contribute across the entire ML lifecyclefrom ideation and experimentation to deployment and maintenancewhile maintaining high standards of code and model quality.

You will also be a key contributor to the teams technical strategy, helping shape the future of edge AI solutions within the organization. Your work will directly impact product capabilities, user experience, and the scalability of AI systems across various platforms.

What Youll Do

• Own and deliver key Machine Learning / Computer Vision components or features of a project.
• Design and implement targeted initiatives to optimize internal or edge systems efficiency and output.
• Identify novel solutions and take an active role in designing application units.
• Develop advanced-scope tools to automate research and development processes and enhance workflow efficiency.
• Support graduated AI solutions throughout their production lifecycle and construct prototypes.
  
  

Data

• Ensure seamless integration between data pipelines and ML workflows.
• Collaborate on feature engineering, format specification and data coherency assurance / validation.
• Leverage data orchestration tools.
  
  

DevOps

• Support infrastructure, scalability and reliability for ML projects.
• Ensure performance standards adherence for ML derived services (observability, logging and alerting).
  
  

Product Management

• Prioritize platform capabilities based on product needs
• Align on timelines and deliverables.
• Collaborate on the art of the possible.
  
  

Engineering

• Align on APIs and microservice protocols.
• Coordinate to ensure optimal resource usage.
  
  

Collaborating with

• Data Engineering team, DevOps team, Product Management team, Engineering team.
  
  

Profile And Skills

• 2+ years of experience working on Machine Learning / Computer Vision systems at the edge.
• Strong communicator, thriving in a highly agile environment. High tolerance to ambiguity, given the fast pace of ML systems evolution.
• Strong practical problem-solving and algorithmic skills. Very strong computer science base.
• Strong proficiency in Python or expert in a low level / systems programming language (willing to learn Python).
• Solid understanding of software engineering principles, version control, and CI/CD.
• Deep understanding of ML algorithms, tuning, training and evaluation procedures. Capable of implementing algorithms and solutions presented in papers.
• Strong analytical skills, able to identify trends and make decisions based on data. Capable of expanding on experimental results presented by others. Ability to think critically about the available information and devise efficient solutions to problems.
• Experience with moving models from research to production (latency, scalability).
• Integrate and maintain the standards of code and model quality that facilitate further research and allow for easy long-term maintenance.
• Ability to design, execute and deliver small-scale applications.
• Ability to independently write research reports.
  
  

Additional Skills

• Solid understanding of classical computer vision algorithms and concepts.
• Familiarity with machine vision and neural network models.
• Experience in developing or optimizing real-time systems.
• Hands-on experience with MLOps tools and workflows.
• Proficiency in video streaming, processing, decoding, and format handling.
• Knowledge of hardware and resource optimization techniques.
• Experience with deploying models on specialized or embedded/edge devices.
• Familiarity with major cloud platforms.
  
  

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 Woolworthswe 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.