AI Engineer
1 giorno fa
Location: Bastiglia, Emilia‑Romagna (Hybrid - 3 days onsite) Tinental is a technology company applying Artificial Intelligence to real industrial data. We tackle real‑world challenges in energy efficiency, plant reliability, automation, and decision support, taking AI models and systems all the way from research into production. Our work happens in complex, high‑stakes environments: noisy data, strict industrial constraints, and demanding requirements for robustness, reliability, and measurable impact. We are expanding our R&D team and are looking for an AI Engineer to join us. The role is open to Junior, Mid‑level, or Senior candidates. Seniority and responsibilities will be determined based on your experience and skills. What You’ll Work On (Project Examples): Your projects will match your experience and interests. A growing ecosystem of AI agents powering automation and orchestration inside our Caleno platform (LLMs, RAG, tool usage, complex workflows) Training, evaluating, and validating ML/CV models in real industrial environments, with all the constraints that come with production systems MLOps & Production AI End‑to‑end pipelines, observability, continuous iteration, and scaling on HPC/GPU infrastructure What You’ll Do: You’ll collaborate closely with a highly technical team to deliver robust, maintainable, and measurable AI solutions that actually run in production. Depending on your profile, you’ll contribute to: Computer Vision Generative AI / LLMs RAG and agent‑based systems You’ll work on end‑to‑end AI systems, from idea to production: data → models → deployment → monitoring Responsibilities by Level: Junior: Dataset preparation and feature engineering Guided model training and baseline development Metrics analysis and clear documentation Supporting PoCs and experimentation Mid‑Level: Ownership of models or system components Designing and running experiments Integrating AI solutions into products Post‑release monitoring and continuous improvement Senior: Defining architectures and technology choices Contributing to the technical roadmap Mentoring team members Ensuring industrial‑grade robustness, scalability, and quality What We’re Looking For: Strong Python skills and solid ML/DL fundamentals Experience in at least one of: Computer Vision NLP LLMs / Generative AI RAG Agent systems A rigorous mindset around metrics, experimentation, and validation What We Offer: Real industrial AI projects with measurable impact Hybrid work model (3 days onsite) Company cafeteria Salary aligned with experience Direct access to HPC/GPU infrastructure Mentorship and guidance (Junior) Technical ownership and autonomy (Mid) Leadership and architectural influence (Senior) At Tinental, your ideas matter, your growth is supported, and your work drives real‑world change. #J-18808-Ljbffr
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