Machine Learning Engineer, LLM Specialist

Job not on LinkedIn

3 days ago

Apply Now

Receive Emails with Similar Jobs

T-Systems International

WebsiteLinkedInAll Job Openings

Enterprise • SaaS • Security

T-Systems International is a leading European IT service provider that plays a significant role in digital transformation by offering consulting, cloud services, digital solutions, security, and connectivity. Known for its holistic and integrated approach, T-Systems combines comprehensive industry expertise with advanced technology solutions to support various sectors including automotive, healthcare, public sector, financial services, and manufacturing. The company's offerings encompass AI strategies, cloud migration services, application services, and cybersecurity, making it a key partner for clients aiming for a future-proof digital environment. With a focus on sustainability and innovation, T-Systems provides tailored solutions globally, supported by a wealth of customer success stories and recognitions for excellence.

10,000+ employees

Founded 2000

🏢 Enterprise

☁️ SaaS

🔐 Security

📋 Description

• Design, develop, and implement end-to-end AI systems, with a strong focus on Large Language Models (LLMs). • Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes. • Conduct research to explore new techniques and technologies in AI and machine learning. • Analyze large datasets to identify trends and insights that inform model development. • Continuously monitor and improve model performance to ensure accuracy and efficiency. • Communicate technical concepts effectively to both technical and non-technical stakeholders.

🎯 Requirements

• Overall experience: 8+ years; relevant experience: 3+ years. • Degree in Computer Science, Machine Learning, or a related field. • Excellent problem-solving skills and attention to detail. • Proficiency in Python and strong programming skills. • Hands-on experience with LLMs and AI frameworks: Transformers, PyTorch, TensorFlow, as well as RAG : LlamaIndex, LangChain. • Practical experience with agent frameworks such as LangGraph, CrewAI, AutoGen. • Ability to integrate new functional AI systems with APIs, low-latency backends, and production deployment. • Ability to quickly understand new AI concepts from papers and blogs, run experiments, and propose system improvements. • Preferred: Experience working with distributed HPC clusters: Ray, Kubernetes, Docker. • Experience fine-tuning LLMs/Embeddings for downstream tasks. • Experience building and evaluating RAG systems.

🏖️ Benefits

• International, positive, dynamic, and motivated work environment. • Hybrid work model (remote/on-site). • Flexible working hours. • Continuous training: certification preparation, access to Coursera, weekly English and German classes. • Flexible compensation plan: health insurance, meal vouchers, childcare, transportation assistance. • Life and accident insurance. • 26+ vacation days per year. • Social fund. • Free access to specialists (doctors, physiotherapists, nutritionists, psychologists, lawyers). • 100% salary coverage in case of medical leave. • And many more benefits of being part of T-Systems!