AI Engineer

Responsibilities

• Product & Problem Framing
• Translate business needs into end-to-end AI product solutions with clear success metrics, user workflows, and decision impact
• Define MVP scope, prioritize features based on ROI and feasibility, and drive iterative delivery from concept to scaled adoption
• Design human-in-the-loop, human-on-the-loop, and autonomous AI experiences aligned to business processes
• Data & Feature Engineering
• Perform exploratory data analysis across structured and unstructured datasets to uncover actionable insights
• Engineer scalable feature pipelines, embeddings, and transformations for ML and GenAI use cases
• Establish data contracts, quality checks, and reusable data assets to support production systems
• Model Development & Applied AI
• Develop and deploy machine learning and AI models across domains including computer vision, time-series, anomaly detection, and optimization
• Leverage LLMs/VLMs, prompt engineering, RAG architectures, and agent-based frameworks for modern AI applications
• Balance accuracy, latency, interpretability, and cost to meet real-world constraints
• Extend solutions from predictive to prescriptive decision-making
• MLOps & Productionization
• Design and implement end-to-end pipelines for training, validation, deployment, and monitoring
• Apply CI/CD, containerization (Docker), and orchestration to ensure scalable and reliable deployments
• Implement model monitoring, drift detection, and automated retraining strategies
• Optimize systems for performance, cost, and real-time/edge constraints
• Full-Stack Development & Integration
• Build production-grade APIs, microservices, and backend systems to serve AI models
• Develop lightweight front-end applications, dashboards, or user interfaces to enable business adoption
• Integrate AI solutions into enterprise systems (e.g., MES, ERP, supply chain platforms)
• Ensure seamless user experience from data to decision
• Collaboration & Product Delivery
• Partner with AI Product Owners, SMEs, and IT teams to deliver integrated, high-value solutions
• Translate technical capabilities into business value and user outcomes
• Lead technical direction for vendors and external partners to ensure quality and delivery alignment
• Contribute to reusable blueprints, accelerators, and best practices across AI initiatives
• Responsible AI & Governance
• Ensure explainability, fairness, privacy, and compliance across the AI lifecycle
• Maintain documentation including model cards, data lineage, and system architecture
• Implement guardrails and evaluation frameworks for GenAI and agent-based systems.
• Knowledge, Skills and Abilities:
• Bachelor's Degree in Computer Science, Management in Information Technology, Software Engineering and other related in discipline Computer Science
• 5+ years of experience delivering end-to-end AI/ML solutions in production environments
• Fluency in English
• Strong programming skills in Python and experien

Benefits

Additional Information

Join the world leader in advanced energy storage solutions and be part of the success story of VARTA®! At Clarios , we're powering today, into tomorrow. Do you want to join a company that cares about your future development and wellbeing? This is not just a statement. Do you know why? Here are 10+1 things we guarantee: Professional development opportunities and language courses Flexible working hours, home office and extra vacation days Monthly bonus after 6 months of employment Extra contribution to meal card Special bonus for important life events (wedding, new baby) Complex onsite care - workplace massages, workshops, individual medical examinations, and consultations tailored to your needs Regular onsite exercises Modern private canteen Employee events, volunteering, and team-buildings Relocation package and housing allowance if you are relocating to Bratislava to join our team On top of that, you will receive a flexible benefits allowance so you can tailor the rest of the benefits to suit your individual needs - ProCare, Vas Lekar, 3rd Pillar investment, Multisport card, Golem one pass etc. Your role: We are seeking a highly skilled AI Engineer to design, build, and deploy end-to-end AI-powered products that drive measurable business impact across operations, offices, and products. This role goes beyond model development-owning the full lifecycle from problem framing and data exploration to production systems, APIs, and user-facing applications. The AI Engineer transforms complex, high-volume data into scalable, intuitive solutions by combining advanced AI/ML techniques with modern software engineering and full-stack development. This role works closely with AI product owners, AI data scientists, business SMEs, and IT partners to deliver robust, production-grade AI solutions that are embedded in real workflows and decision-making processes. This role requires a product-oriented, hands-on builder with strong analytical depth, engineering excellence, and a passion for solving real-world problems end-to-end.

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