AI SPECIALIST INTERN (1 YEAR)
Descrição da oferta de emprego
Job ID.
We are looking for someone to participate in the roll-out if different AI use cases to our distribution organization (IWD).
You will have the opportunity to apply and develop your technical skills in a stimulating environment combining finance and technology.
Our organization is spread across Europe and you will experience an international environment with frequent interaction with our Danish and Luxembourgish hub.
At (COMPANY NAME), we see that the world is changing fast - and we want to be one step ahead of the curve.
That's why we're deeply committed to providing the financial solutions of tomorrow to our customers.
We're creating an agile environment where we experiment and grow together - and we need your ideas and personal background.
With us, you'll be in good company with a chance to make your mark on something bigger.
(COMPANY NAME) Asset Management (NAM) is the asset management arm of the (COMPANY NAME) Group, the leading financial services group in the Nordics.
We want to do this by delivering returns with responsibility.
The group has more than 9 million clients and employees.
NAM has around 950 employees and manages more than EUR 240 billion of assets for institutional, wholesale, and retail clients across the Nordic region and the globe.
About this opportunity You will join our Innovation and Fund Reporting team based in Lisbon.
The team is 15-strong people with a part of it focusing mainly on AI development.
We seek to build a solid framework around AI technologies to simplify our processes, understand better the market, and invent the ways of working of tomorrow.
You will have the chance to apply your theoretical and technical knowledge to real-world problems and be part of the deep transformation fuelled by AI.
What you'll be doing.
* Build algorithms and use machine learning tools and statistical techniques to produce scalable solutions (LLM).
* Participate in the creation and maintenance of RAG databases (vector database).
* Participate in the deployments and maintenance of LLM models.
* Create and maintain data pipelines to support AI applications (Airflow, Kafka, etc).
* Writing maintainable, performant and well-tested code in Python.
* Maintain solution documentation and make sure it is up to date.
Work place.
Oeiras.
Who you are Collaboration.
Ownership.
Passion.
Courage.
These are the values that guide us in being at our best - and that we imagine you share with us.
To succeed in this role, we believe that you have.
* And analytical mindset & high commitment.
* Good understanding of RAG (chunking, retrieval, maintenance).
* Good understanding of Machine Learning techniques (Supervised/Unsupervised learning, Deep learning and Reinforcement learning).
* Good understanding of NLP techniques and text mining.
* Good understanding of the best practices in Prompt Engineering.
* An interest in finance related topics is valued.
Your experience and background.
* Curious and self-driven with high interest in data science and AI technologies.
* Adaptive and problem solver.
* Efficient and delivery oriented.
* Persistent and determined.
* Innovative and like to sick new ways to solve issues.
Your experience and background.
* Fluent in English (other European language are considered an asset).
* Master's in Computer Science, Maths or other numerate subject.
* Knowledge of key concepts in Statistics, Mathematics and data science.
* Prior experience in projects involving curation of large dataset and machine learning algorithm will be considered a valuable addition.
If this sounds like you, get in touch! Next steps If this is the opportunity you are seeking, please send us your cover letter and CV in English latest on .
At (COMPANY NAME).
om and (COMPANY NAME).
u, you can read more about us, our business and our focus on integrating sustainability into everything we do.
At (COMPANY NAME), we recruit from the widest possible pool and hire the best person for the job.
Because diversity makes us stronger.
And once you are on board, you will find that we offer equal opportunities to everyone.
#NAM #NAM-Portugal
Detalhes da oferta
- Indeterminado
- Em todo Portugal
- Indeterminado - Indeterminado
- 07/10/2024
- 05/01/2025
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