Responsibilities:
- 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.
Qualifications :
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 frameworks: 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.
Información adicional :
What do we offer
- 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!
If you are looking for a new challenge dont hesitate to send us your CV. Join our team!
T-Systems Iberia will only process CVs from candidates who meet the specified requirements for each position.
Remote Work :
Yes
Employment Type :
Full-time
Responsibilities: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 ...
Responsibilities:
- 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.
Qualifications :
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 frameworks: 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.
Información adicional :
What do we offer
- 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!
If you are looking for a new challenge dont hesitate to send us your CV. Join our team!
T-Systems Iberia will only process CVs from candidates who meet the specified requirements for each position.
Remote Work :
Yes
Employment Type :
Full-time
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