AI Engineer
IntellectEU
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
€ 60KJob location
Remote
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Software Quality
Information Engineering
Data Governance
Decision Support Systems
DevOps
Machine Learning
Systems Integration
Data Ingestion
Generative AI
Information Technology
Machine Learning Operations
Job description
- Design, develop, and deploy AI models and solutions to address complex business and technical problems, handling every step of the end-to-end pipeline from data ingestion to monitoring.
- Conduct feasibility studies, prototyping, and benchmarking of AI solutions.
- Optimize models for performance, scalability, cost efficiency, and compliance with data governance standards.
- Collaborate with software developers to ensure seamless integration of AI models into production systems.
- Follow and propagate best practices for AI development, including code quality, reproducibility, and documentation.
- Provide technical guidance to adjacent roles within project teams (e.g. DevOps, QA's, …).
- Engage both in pre-sales calls with potential clients as well as in support calls with existing clients.
- Ensure responsible AI practices, including fairness, transparency, and explainability in model design and deployment.
Requirements
Do you have experience in Negotiation?, Do you have a Master's degree?, * Master's or PhD degree in Computer Science, Mathematics, Physics, Data Science, Artificial Intelligence, Engineering, or equivalent experience.
- 2+ years of experience in AI/ML solution design, architecture, or leadership roles.
- English proficiency at B2 level or higher.
- In-depth understanding of generative artificial intelligence and machine learning, including state-of-the-art algorithms, frameworks/tools, best practices, and challenges in scaling AI.
- Experience training/fine-tuning language models.
Nice to have:
- Experience with machine learning pipelines and MLOps practices.
- Experience with data engineering and cloud infrastructure (AWS, Azure, or GCP).
- Knowledge of ethical AI principles, regulatory considerations, and responsible AI practices.
- Proven experience working with enterprise clients, including stakeholder management and relationship building.
- Experience deploying AI solutions in production environments at scale.
- Familiarity with integrating AI solutions into enterprise workflows, including automation, analytics, and decision support systems.
Nice to have soft skills:
- Ability to think strategically and develop long-term AI (adoption) roadmaps.
- Strong negotiation skills to manage client expectations, address concerns, and find mutually beneficial solutions.
- Excellent communication skills to articulate complex AI concepts to both technical and non-technical audiences.
Benefits & conditions
- Excellent compensation and benefits package including medical insurance and sports activities.
- International experience in a stable company: the company has offices in Antwerp, Lisbon, Krakow, Kyiv, New York and operates on the market for over 15 years.
- Passionate team in an innovative casual, positive, and open work environment ready to meet your new ideas.
- Great opportunities for personal and professional development as well as the chance to change the way the business works in the financial world.
- Work where you're most productive - remote, in-office, or hybrid options available.
Take a chance to contribute to our success in the financial world!
Job Types: Full-time, Permanent contract
Pay: €36.000,00 - €60.000,00 per year
About the company
IntellectEU is an international technology company focused on digital finance and emerging technologies. At IntellectEU we are on a mission to become the top-of-mind fintech company. We are committed to our people and believe in building a better future with the newest of the newest technologies. Giving young people and industry veterans a growing ground to play, launch ideas & work very closely with our clients. With our hands-on experience in both technical & capital markets, there's no challenge that's left untackled. Since 2006 we have been focused on financial messaging and integration, being a SWIFT service partner.