обновлено 7 дней назад
AI Engineer (Automotive)
4 200 - 8 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Automotive) (Python/ML): Building end-to-end AI features for automotive diagnostics, customer support, and internal process automation with an accent on predictive fault detection, LLM-powered tools, and production deployment. Focus on training and deploying models, integrating Docker-based API microservices, and monitoring solution quality and performance.
Location: Hybrid in Kaunas or Vilnius, Lithuania; 3 days in the office and 2 days from home or another suitable location.
Gross salary: €4,200–€8,000 per month, depending on experience.
Company
develops diagnostic and customization tools that make automotive technology more accessible to car enthusiasts worldwide.
What you will do
- Develop, train, deploy, and maintain machine learning models and AI-driven solutions.
- Improve the AI chatbot in collaboration with the customer support team.
- Prototype LLM-powered tools for business data summarization and internal process automation.
- Collaborate with product teams to turn AI and ML concepts into user-facing features.
- Monitor the performance and quality of AI and ML solutions.
- Maintain reproducible code, testing, and documentation standards.
Requirements
- Hands-on experience developing and deploying ML models or AI solutions to production.
- Proficiency in Python and core ML libraries such as Pandas and PyTorch.
- Strong knowledge of statistics, probability, A/B testing, feature engineering, and model validation.
- Experience deploying AI features with Docker and API-based microservices.
- Ability to combine clear communication with effective project execution.
Nice to have
- Knowledge of IoT and connected-device data flows.
- Knowledge of experiment design and A/B testing.
- General understanding of CI/CD concepts.
Culture & Benefits
- Hybrid work with flexible working hours.
- Comprehensive health plan and paid days off for personal and family care.
- Birthday day off, additional vacation days based on tenure, and a four-day workweek for one month per year depending on company performance.
- Learning budget equal to 2% of gross salary and one paid self-learning day each month.
- Team lunches, team-building events, company parties, sports communities, snacks, and office lounge access.
- Ownership-focused environment with opportunities to propose and implement improvements.
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