AI/ML Engineer

🕒 July 13

🌐 Ukraine, Poland – Remote

🇺🇦 Ukraine – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Globaldev Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 12 years

💼 Consulting

📦 Logistics

☁️ SaaS

Consulting • Logistics • SaaS

Globaldev Group is an international company that specializes in providing IT outsourcing and software development services. They focus on assisting businesses in building and managing their engineering teams, offering expertise in various modern technologies and development practices to ensure efficient and effective project delivery.

📋 Description

• 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

• 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

• 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.