Jobs at Clarios (Now Hiring) — 44 open

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.

Key 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 experience with ML frameworks (scikit-learn, PyTorch, TensorFlow)

• Experience building production systems (APIs, microservices, backend services) using frameworks such as FastAPI, Flask, or similar

• Experience with frontend or visualization frameworks (e.g., React, Streamlit, Power BI, or similar) to deliver user-facing solutions

• Hands-on expertise in data processing, feature engineering, and large-scale data handling

• Strong experience in model development, evaluation, and deployment

• Familiarity with LLMs, prompt engineering, RAG, and AI agents frameworks (preferred)

• Experience with MLOps practices: CI/CD, Docker, model versioning, monitoring

• Knowledge of cloud platforms (Azure preferred) and data platforms (Snowflake, Spark)

• Experience integrating AI into enterprise workflows and operational systems

• Strong business acumen with ability to connect AI solutions to ROI and outcomes

• Excellent communication and stakeholder engagement skills

The starting salary is at min 3 500 EUR/month gross for candidates who meet our minimum criteria.

This amount is our minimal offered salary. Clarios values each and every candidate and we ensure our compensation package aligns with your professional experience and your expectation.

#LI-EC1

About Clarios:

Clarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus – advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information here (PDF). 

To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Equal Employment Opportunity:
Clarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email [email protected].

A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.