AI/ML Engineer

Globaldev Group

AI/ML Engineer designing end-to-end AI solutions for Axonlab's medtech eCommerce platform. Implementing AI services and collaborating with various teams to enhance offerings.

Posted 7/13/2026full-timeRemote • 🇺🇦 UkraineMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing end-to-end AI solutions, including data pipelines, AI services, and hardware specifications. Proficient in Python and familiar with machine learning algorithms, MLOps principles, and cloud services, with a strong focus on innovation and problem-solving.

Highest-signal resume keywords

End-To-End AI Solution DesignPython ProficiencyMachine Learning AlgorithmsMLOps PrinciplesComputer Vision Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningAI Solution ArchitectureModel Training WorkflowsData PreprocessingFeature EngineeringAPI IntegrationsNetworking ConceptsPerformance OptimizationConversational AI

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationInnovation

Tools & Technologies

PandasNumPyScikit-LearnTensorFlowPyTorchAzure Cloud ServicesHybrid ArchitecturesOn-Premise Deployments

Industry Keywords

AIMachine LearningData ScienceComputer VisionMLOpsImage Acquisition PipelinesCamera-Based Automation

Tech Stack

Tools & technologies

AzureCloudNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design and own end-to-end AI solution architectures, covering data pipelines, AI services, integrations, and infrastructure requirements.
Define camera setups, imaging requirements, and hardware specifications for computer vision use cases.
Coordinate installations and integrations with internal teams.
Collaborate with Digital, IT Infrastructure, Software Engineering, and Master Data teams to ensure scalable and maintainable solutions.
Develop and deploy AI models on edge devices where low latency or offline processing is required.
Create and optimize conversational AI for natural language interactions and improved user experiences.
Continuously explore and incorporate emerging AI/ML technologies to enhance the efficiency and scalability of solutions.
Monitor model performance and conduct regular evaluations to maintain accuracy and reliability.
Contribute to bi-weekly brainstorming and team innovation sessions to propose new ideas and solutions.

Requirements

What you’ll need

4+ years of professional experience in Data Science, Machine Learning, or AI-related roles, delivering data-driven solutions in business environments.
Experience designing end-to-end AI solutions, including software, infrastructure, and hardware components.
Solid understanding of networking concepts, API integrations, security, and system interoperability.
Solid understanding of machine learning algorithms, data preprocessing, and model training workflows.
Excellent proficiency in Python and common Data Science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Knowledge of computer vision systems, image acquisition pipelines, and camera-based automation solutions.
Experience with Azure cloud services, hybrid architectures, and on-premise deployments.
Ability to evaluate, select, and manage hardware vendors and technology partners.
Ability to design and implement end-to-end ML pipelines, including data ingestion, feature engineering, and deployment.
Strong analytical skills with a focus on solving complex problems in a structured and efficient manner.
Enthusiastic about exploring new challenges and delivering innovative solutions.
Solid understanding of MLOps principles and model lifecycle management, including monitoring, retraining, and performance optimization.
Strong analytical and problem-solving skills, with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.
Passion for innovation and continuous learning in the fields of AI, Machine Learning, and Data Science.
Very good command of English; knowledge of German and French is a plus.

Benefits

Comp & perks

Comfortable environment, challenging tasks and a long-term interesting project;
Covered 20 days of vacation and 10 days of sick leave;
Health insurance with premium-level clinics;
Working with top notch equipment;
Bookkeeping by a professional accountant;
Help and support from our caring HR-team;
Regular business trips to Switzerland.