Overview
Company Description
At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different perspectives, embrace challenges, and are committed to continuous learning in order to grow and make an impact on society… all in a fun way!
It doesn’t matter when or where you work. It’s about doing meaningful work that advances society. For this reason, we will do everything possible to ensure that you have all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. We support you in growing both personally and professionally so that you can make a notable impact on society.
T-Systems is a team of around 28,000 employees worldwide, making us one of the leading global providers of end-to-end integrated solutions. We develop hybrid cloud solutions, artificial intelligence, and drive the digital… transformation of companies, industries, the public sector, and ultimately, society as a whole.
Job Description
Responsibilities:
LLM Developer/Engineer, your primary responsibility is to design, develop, and optimize large language models, NLP systems, frameworks, and tools for both front-end and back-end development.
Prototypes and do proof of concepts (PoC)In : LLM, NLP, DL(Deep Learning), ML (Machine Learning), object detection / classification , tracking , etc.
Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
Work with business users to translate functional requirements into data specifications
Researchers and engineers to build state-of-the-art language models that can understand and generate human-like text.
Collaborate with data scientists and business users to transform domain know-how into functional requirements.
Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
Qualifications
Requirements:
Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as Llama Index, LangChain, TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
Hands-on experience with Docker, Kubernetes, Airflow, Kubeflow, MLOps, and DataOps principles.
Data Analysis and Pre-processing: Collect and pre-process large-scale text corpora to train and fine-tune language models. Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.
Language Model Development: Utilize off-the-shelf LLM services, such as Cloud Open AI, to integrate LLM capabilities into applications, and collaborate with the research team to design and develop state-of-the-art language models.
Nice to Have:
Solid understanding of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs)
Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc.
Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing NLP data wrangling and tokenization
Understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc)
Experience using end-to-end MLOps platform such as Kubeflow, MLFlow, AirFlow, Vertex AI
Additional Information
What do we offer you?
– International, positive, dynamic, and motivated work environment.
– Hybrid work model (telework/face-to-face).
– Flexible schedule.
– Continuous training.
– Flexible Compensation Plan.
– Life and accident insurance.
– More than 25 working days of vacation per year.
And many more advantages of being part of T-Systems!
If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!
T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer
Company:
T-Systems Iberia
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
