Role overview
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.
What you'll work on
- 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.
What we're looking for
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 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.