Description
EXUS AI Labs is looking for a high caliber Artificial Intelligence (AI) Architect to work fully remotely as a contractor (long term collaboration) . You will be mainly responsible for:
- Designing and implementing AI solutions for EXUS commercial product (EXUS Financial Suite – EFS)
- Designing AI technical solutions in the context of new proposal preparation under several research funding opportunities (e.g., Horizon Europe) · Monitoring deployed AI solutions for performance and drift · Interfacing with EXUS commercial product team to ensure alignment of product’s AI –related requirements with aforementioned EXUS’ technical designs.
- Designing AI technical solutions in the context of running (funded) projects, providing guidance to the engineering team that implements the design, while closely monitoring and performing quality control of the outcome (adherence to specs).
Requirements
Education
- BSc and MSc in in Computing, Mathematics, Statistics, Operations Research, Scientific or Engineering disciplines from an accredited educational institution
- PhD in Computing, Mathematics, Statistics, Operations Research Scientific or Engineering disciplines from an accredited educational institution (will be considered as a plus)
Required Experience/Technical Qualifications
- 4+ years current practical experience developing production-quality applications in Python
- 3-5 years of experience with enterprise grade CI/CD pipeline deployment
- 2-3 years of experience with large-scale production machine learning orchestration between multiple solutions
- Solid background in statistics, probability theory, data modeling, machine learning algorithms, optimization techniques, software development techniques and programming languages used to implement AI solutions
- Able to interpret complex business requirements, translating them into analytical problems and deliver high value insights and information
- Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) Frameworks to process end to end data management life cycle for NLP, Supervises/Unsupervised ML Algorithms, High-dimensional Data Mining, and Text Mining algorithms
- Experience with modern software development practices and tools
- Experience in solution design for infrastructure software, Software as-a-Service (SaaS) or software development platforms (Azure, docker etc..), AI/ML projects
- Experience in neural networks/deep-learning techniques
- Demonstrated Knowledge of Data Analytics, ML Libraries (scikit-learn, Tensorflow, Keras, etc.) and ML Frameworks (Airflow, MLFlow, Kubeflow, etc.)
Other Qualifications
- Ability to work effectively with a broad group of individuals of variable disciplines (SW engineers, Data scientists, Project Managers)
- Exceptional written communication and presentation skills including the ability to engage different stakeholders in developing and implementing designs
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
- Ability to learn new frameworks and environments
- Ability to work in a fast-paced environment, as well as to be an outstanding team player
- Ability to work independently and manage multiple task assignments.
- Proven capability of working with both technical and business stakeholders
Benefits
- Competitive and attractive salary
- Friendly, pleasant and creative working environment
- Remote working
- Constant opportunities to learn New Technologies
At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team growth. We offer continuous personal development with the utilization of new technologies, training and technical research.
