LLM Engineer - AI/ML
T-Systems ICT India Pvt. Ltd.
- Pune, Maharashtra
- Permanent
- Full-time
Location: Pune / Bangalore (Hybrid)
Employment Type: Full-timeWe are seeking a talented AI/LLM Engineer to join our AI Foundation Services team. In this role, you’ll develop secure and compliant AI solutions, focusing on delivering foundational services like large language models (LLMs), retrieval-augmented generation (RAG), and custom AI solutions for industries like healthcare, public sector, and automotive.You'll help shape T-Systems' AI products to meet the security and regulatory needs of European enterprises, with a focus on practical, scalable solutions.
- Design, develop, and implement end to end AI systems, particularly focusing 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.
- Experience: 3+ Years
- Education in Computer Science, Machine Learning, or a related field.
- Excellent problem-solving skills and attention to detail.
- Proficiency in Python and strong programming skills.
- Experience with LLMs and AI frameworks: Transformers, Pytorch / Tensorflow as well as RAG frameworks: Llama-index / LangChain.
- Ability to integrate new functional AI systems with APIs, low latency backends and production deployment. FastAPI/Flask, Microservices,
- Quickly grasp new AI concepts from papers and blogs, conduct experiments, and propose system improvements.
- Excellent communication skills in English, both written and verbal.
- Have experiences on working with distributed HPC clusters: Ray, Kubernetes, Docker.
- Experience with fine-tuning LLM / Embed for downstream tasks.
- Experience with building, evaluating RAG systems.