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. 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 natural language processing (NLP) AI products, from RAG systems to content generation and recommendation, to improve Enhesa’s customer experience. In addition to the required technical skills, the Senior AI Engineer has great organizational and communication skills and understands the challenges related 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 showing a willingness to approach a problem in multiple ways via rapid prototyping.
- Identifying appropriate datasets and driving annotation for machine learning techniques.
- Developing and maintaining machine learning applications and products, together with relevant expert talents.
- Iteratively improving the developed AI systems and running evaluation experiments in collaboration with others, performing statistical analysis of results.
- Keeping an eye on the state-of-the-art of machine learning and GenAI 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, AI, Mathematics, or a related field.
Experience
At least 3 years of experience as an AI/IT Engineer (More than 5 years if the highest education is a Bachelor’s degree).
Technical Skills:
- Postgres database or other relational database experience.
- Familiarity with the concepts and applications of Vectors Database knowledge is a plus.
- Experience in content apps and microservices.
- Knowledge of a variety of NLP techniques, RAG Systems, Agentic Orchestration, MCP servers, classification, data transformations, optimization, and deep neural networks, with a good understanding of the mathematical underpinnings 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 application programming interfaces (APIs), such as RESTful, Asynchronous, etc.
- Ability to write clean, production-ready code.
Other Skills:
- Any other core skills to bring to the team are a huge plus, such as front-end development, experience administering cloud systems, deploying serverless cloud technology, deep Linux knowledge, etc.
- Fluency in English. Any additional language skills are an asset.
- In order to fit in Enhesa’s collaborative and international environment, creativity, dynamics, and ability to work independently yet transparently towards colleagues.
- Strong teamwork skills, 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.
Skills Required
- Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Mathematics, or a related field
- At least 3 years of experience as an Engineer or 5+ years with a bachelor's degree
- Expertise in the Scala programming language
- Experience using Scala Play Framework
- Advanced Elasticsearch experience
- Experience in microservices
- Knowledge of AI techniques (NLP, classification, clustering, etc.)
- Proficiency in Python (OOP)
- Experience with Docker, Azure, GCP, AWS
What We Do
Enhesa is partner to multi-national corporations that want to help make the world a better place. Our comprehensive EHS and product compliance support empowers our clients to be relevant and resolute in taking care of the environment, health and safety of their collective - globally and locally. Over the past 25 years, Enhesa has built an extensive knowledgebase of EHS and product regulatory content in more than 300 jurisdictions with support in 30+ languages. Combining advanced expertise with the latest AI-powered technology, our team of 75 in-house legal experts translate complex regulatory data into clear requirements. With our standardized, centralized regulatory content, organizations can achieve seamless compliance across their complete business scope - from how they operate to what they create. In 2020 Chemical Watch - the leading global provider of independent intelligence and insight for product safety professionals managing chemicals - was acquired. Their insight helps businesses create safer products and stay ahead of the dynamic chemicals management agenda. In 2021 Scivera – helping leading product brands across the globe to create better products via better chemicals – was acquired. They are driving the transformation towards safer chemistry and material health – and help businesses to simplify the start of their chemical management program. Also in 2021, HCB was acquired - publishing key insights on the global transport, handling and storage of dangerous goods. It is our mission to help build a safer, more sustainable world. We help companies transform their product and operational compliance management. We want you to stay on top of emerging and evolving regulations, fully in the know of what compliance means now and how it will change in the future. We help you comply with confidence – today, tomorrow, across the globe.
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