Auf einen Blick
- Aufgaben: Leite spannende KI-Projekte von der Definition bis zur Implementierung.
- Unternehmen: Grid Dynamics, ein führendes Unternehmen für Technologieberatung und KI-Entwicklung.
- Vorteile: Wettbewerbsfähiges Gehalt, flexible Arbeitszeiten und umfassende Sozialleistungen.
- Weitere Informationen: Dynamisches Team mit hervorragenden Entwicklungsmöglichkeiten.
- Warum dieser Job: Arbeite an bahnbrechenden Projekten und forme die Zukunft der KI.
- Qualifikationen: Mindestens 5 Jahre Erfahrung in Machine Learning Engineering und starke Python-Kenntnisse.
Das prognostizierte Gehalt liegt zwischen 63000 - 77000 € pro Jahr.
We are looking for an exceptional Machine Learning Engineer to help shape the next generation of AI systems, with a focus on modern LLM architectures, RAG implementations, autonomous agents and AI safety.
Working hours: overlap until 3 pm US EST is required.
Responsibilities Own machine learning projects from problem definition through implementation.
Design and implement evaluation methodologies for AI and machine learning systems.
Create datasets, benchmarks, and metrics to measure model and product performance.
Evaluate and improve LLM-based systems, including RAG applications, agents, safety systems, and end-to-end AI products.
Analyze model behavior, identify failure modes, and recommend practical improvements.
Build and maintain ML pipelines, tooling, and evaluation infrastructure.
Collaborate with product, engineering, and research teams to translate business goals into measurable ML objectives.
Prototype and iterate rapidly to solve business and product challenges.
Requirements 5+ years of experience in Machine Learning Engineering or a related field.
Strong Python programming skills and experience with modern ML frameworks such as Py Torch, Tensor Flow, or JAX.
Experience training, fine-tuning, or adapting machine learning models.
Experience working with Large Language Models beyond simple API integration.
Experience evaluating AI systems and translating results into actionable recommendations.
Experience building and maintaining machine learning systems and pipelines.
Understanding of retrieval‑augmented generation (RAG), agentic systems, and LLM safety concepts.
Nice to have Experience designing benchmarks, evaluation frameworks, or automated evaluation systems.
Experience with distributed training or large‑scale model inference.
We offer Opportunity to work on bleeding‑edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.
Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.
A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud
Senior Machine Learning Engineer - LLM Systems & Evaluation Arbeitgeber: Grid Dynamics
Grid Dynamics ist ein hervorragender Arbeitgeber, der eine unternehmerische Umgebung bietet, in der Sie die Möglichkeit haben, eine neue Vertikale im Bereich Daten, KI und Cloud-Lösungen für die Fertigungsbranche von Grund auf aufzubauen. Mit wettbewerbsfähigen Vergütungen und einem unterstützenden, globalen Team fördert das Unternehmen das Wachstum seiner Mitarbeiter und bietet zahlreiche Chancen zur beruflichen Weiterentwicklung in einem dynamischen und innovativen Umfeld.
