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Senior AI Engineer

Enhesa -
Lisboa

Candidate-se agora

Detalhes da oferta

Qualificações

Graduação

Descrição completa da oferta

Who We Are:

Enhesa is the leading provider of regulatory and sustainability intelligence worldwide. As a trusted partner, we empower the global business community with the insight to act today and prepare for tomorrow to create a more sustainable future - positively impacting our environment, our health, our safety, and our future. Navigating the fast-changing compliance and sustainability landscapes, we help them understand not just what they should do (first) but also how to do it. Both in their unique business and anywhere in the world. Now and in the future.

Our Mission:

Identify EHS requirements for the industry
Provide EHS compliance tools to companies
Advise companies in developing and implementing corporate EHS strategies

Enhesa’s core clients include Fortune 500 multinational companies.

As part of our highly dynamic team, we offer:

A competitive salary package & benefits with a flexible home-working policy
Work/life balance and a fast-paced and driven environment
Accountability and pride for your projects

Overview of the position

The Senior AI Engineer collaborates with other expert talents to develop, maintain, and assist in the deployment of NLP, traditional statistical methods, supervised, and unsupervised algorithms to drive efficiency of search, content creation, improve our customer experience, and leverage data to create novel product offerings. In addition to the required technical skills, the Senior AI Engineer has great organizational and communication skills and understands the challenges relating to working with different languages.

The Senior AI Engineer is expected to keep up with the latest developments in the field of Artificial Intelligence engineering and be prepared to think creatively and apply novel techniques while solving business problems.

Main tasks and responsibilities

Being comfortable with experimentation and willing to approach a problem in multiple ways via rapid prototyping.
Identifying appropriate datasets and driving annotation for machine learning techniques.
Developing (together with relevant expert talents) and maintaining machine learning applications and products.
Iteratively (re-)training the developed models and running evaluation experiments in collaboration with others, as well as performing statistical analysis of results.
Keeping an eye on state-of-the-art machine learning solutions, emerging technologies, and developments in academia.
Translating and communicating technical concepts and solutions to different stakeholders.

Key requirements

Education Level

Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.

Experience

At least 3 years of experience as an Engineer OR

5+ years, if the highest education is a bachelor’s degree.

Technical Skills:

Expertise in the Scala programming language and the Play Framework is desired, but not mandatory.
Advanced Elasticsearch experience.
Postgres database or other relational database experience.
Experience in content apps.
Experience in microservices.
Knowledge of a variety of AI techniques - such as natural language processing, classification, clustering, optimization, and deep neural networks - along with a solid understanding of their mathematical foundations and real‑world advantages and drawbacks, is preferred.
Knowledge of data structures, semantic extraction, and text representation in an NLP context.
Proficiency in Python (OOP) preferred.
Experience in using technologies such as Docker. Azure, GCP, and AWS.
Experience in creating APIs (RESTful, Asynchronous, etc.).
Familiarity with the concepts and applications of LLMs is a plus.
Ability to write clean, production-ready code.

Other Skills:

Fluency in English is required. Any additional language skills are an asset.
Any other core skills to bring to the team are a huge plus, such as frontend development, experience administering cloud systems, deploying serverless cloud technology, deep Linux knowledge, etc.
In order to fit in our collaborative and international environment, you are creative, dynamic, and are able to work independently yet transparently towards colleagues.
In addition, you are also a strong team player, both with colleagues as well as with external partners.
Both individual and team problem-solving skills are crucial in this position.

If you are ready to join our journey, please apply!

Equal Opportunity Employer
Enhesa is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.

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frontend developer vagas para: cascais, p11

Senior AI Engineer

Senior Back End Engineer

DxL Platform Engineering Lead

Senior Software Engineer (Infrastructure)

Senior Software Engineer - Web Platform

Staff Full-Stack Incubation Engineer

Senior Backend Engineer (Go)

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Design System Lead | Senior

Lead Analytics Platform Architect (m/f/d)

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Senior Java Full Stack Engineer

Staff Software Engineer

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Senior Full‑Stack Engineer (.NET/C#) - CUSS

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34 - Database Administrator DB2 LUW (Linux)

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