AI / ML Engineer II
EverseenRomania2 days ago
Full-timeEngineering, Information Technology
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Everseen: A leader in vision AI solutions for the world’s 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 lifecycle—from ideation and experimentation to deployment and maintenance—while maintaining high standards of code and model quality.
You will also be a key contributor to the team’s 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 You’ll Do
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.
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 lifecycle—from ideation and experimentation to deployment and maintenance—while maintaining high standards of code and model quality.
You will also be a key contributor to the team’s 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 You’ll Do
- Owns and maintains major components and complex features of a project.
- Drives research initiatives and develops innovative algorithms.
- Implements advanced algorithms with awareness of tradeoffs.
- Coaches team members on ML concepts, best practices, and procedures.
- Occasionally collaborates cross-functionally on high-impact projects to integrate AI technologies into products and services
- Demonstrates a strong understanding of how components and features impact the business, and ensures work is aligned with overall project outcomes.
- Stay updated on the latest AI trends
- Write and review research reports and experiment results.
- Data Engineering team, DevOps team, Product Management team, Engineering team.
- 2-3 years of programming experience in Python
- Familiar with some of computer vision, machine learning and deep learning libraries (e.g. OpenCV, TensorFlow, Keras, PyTorch, Scikit-learn…).
- Deep understanding of ML/AI architectures and applications.
- Strong in experimentation, scalability, and real-time systems.
- Advanced problem-solving and engineering judgment.
- Understands the latest innovations in machine learning and computer vision
- Ability to design complex experiments and to communicate them clearly to other team members.
- Ability to design and develop components addressing the needs their research identified.
- Implement algorithms and solutions presented in papers.
- Advance projects to production (from prototype/research phase to production phase)
- Possesses advanced engineering skills.
- Strong analytical skills, able to identify trends and make decisions based on data.
- Knowledge of statistics and data analytics.
- 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.
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.
Key Skills
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