Senior AI Engineer

Enhesa

Portugal

Hybrid

EUR 45,000 - 65,000

Full time

14 days+

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Benefits offered by this job

Competitive salary package

Flexible home-working policy

Work/life balance

Job summary

A leading regulatory intelligence provider in Portugal is seeking a Senior AI Engineer to drive efficiency through NLP and machine learning. Responsibilities include developing applications, maintaining models, and collaborating with teams. Ideal candidates should have expertise in Scala, experience with Elasticsearch, and a strong understanding of AI techniques. This full-time position offers competitive salary and flexibility in home-working. Join a dynamic environment focused on sustainability.

Qualifications

At least 3 years of experience as an Engineer, or 5+ years with a bachelor's degree.
Ability to communicate technical concepts to stakeholders.
Experience in collaborative and international environments.

Responsibilities

Develop and maintain machine learning applications and products.
Identify datasets for machine learning techniques.
Iteratively retrain models and perform statistical analysis.

Skills

Scala programming expertise

Elasticsearch experience

Proficiency in Python (OOP)

Machine learning techniques

Fluency in English

Education

Bachelor’s or advanced degree in Computer Science, AI, Mathematics

Tools

Scala Play Framework

Postgres database

Docker

Azure

AWS

Job description

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. For more information, visit www.enhesa.com

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

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 is a must.
Experience using Scala Play Framework.
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, deep neural networks with a good understanding of the mathematical underpinning and real-world advantages/drawbacks 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.

Seniority level