AI/NLP/ML Expert

You must:

• Live in Europe
• Speak fluent english 

DESCRIPTION OF THE TASKS

·      Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI);

·      Design and optimize machine learning systems and deep learning architectures;

·      Collaborate with cross-functional teams to integrate AI/ML solutions into existing products or processes

·      Design the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;

·      Conduct data preprocessing, feature engineering, and model evaluation;

·      Stay up-to-date with the latest advancements in AI/ML technologies and algorithms;

·      Maintain AI deployed solutions on SaaS platforms (AWS, Azure)

·      Document architecture blueprints and discuss business requirements

The candidate will report to the Architect Office as well as to the different project managers for the projects in which she/he will engage. The Architecture Office applies the SAFe methodology and work activities get assigned as part of the sprint planning

LEVEL OF EDUCATION

Minimum educational qualification corresponding to Level 7 of the European Qualification which typically corresponds to a master’s level or 5 years of higher education.

KNOWLEDGE AND SKILLS

·      Ability to perform proof of concepts (PoC) efficiently and fast;

·      Ability to give business and technical presentations;

·      Ability to apply high quality standards;

·      Ability to cope with fast changing technologies used in cloud-based environments;

·      Very good communication skills with technical and non-technical audiences;

·      Analysis and problem solving skills;

·      Capability to write clear and structured technical documents;

·      Ability to participate in technical meetings and good communication skills.

SPECIFIC EXPERTISE

Following specific expertise is mandatory for the performance of tasks:

·      Very good knowledge of Large Language Models (LLMs), Text embeddings, Tokenization and Vectorization, Machine and Deep Learning;

·      Very good knowledge and understanding of Python/Java/Containers (Docker/Kubernetes)/Cloud AI services (AWS, Azure);

·      Good knowledge of natural language processing systems lifecycle and agile software development methodologies;

·      Good knowledge of quality assurance and quality control for machine translation (MT) and experience with MT quality procedures, testing methodologies and tools, such as automatic quality metrics (BLEU scores and similar) and human evaluation of MT quality;

CERTIFICATIONS & STANDARDS:

One of the following certificates & standards are desirable for the performance of tasks:

·      AWS Certified Machine Learning / Microsoft Certified: Azure AI Engineer Associate

·      AWS Certified Data Analytics / Microsoft Certified: Azure Data Scientist Associate

·      AWS Certified Solutions Architect / Microsoft Certified: Azure Solutionms Architect Expert 

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

 100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

You can expect professional growth and to be connect with the world.

We are represented in 2 European countries: Portugal and Belgium.

And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.

Bridge351 is proud to be an equal opportunity employer. We are committed to build a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability or any other legally protected characteristics.