About This Role
This role involves developing and deploying AI solutions for a top-tier investment bank, working with cutting-edge financial instruments and high-level financial solutions. The position suits a Python developer with strong AI engineering skills who can collaborate with global stakeholders to deliver innovative AI solutions.
Responsibilities
- Collaborate with global stakeholders to translate business requirements into scalable, production-ready AI solutions
- Design and build data transformation and ingestion pipelines supporting AI/ML processes
- Deploy and manage production-grade AI/ML models through APIs, microservices, and scalable applications
- Build and optimize AI infrastructure across cloud platforms such as AWS, GCP, and Azure, including containerized environments
- Develop AI/ML solutions for personalization, anomaly detection, intelligent automation, and emerging use cases
- Work closely with Data Scientists, Software Engineers, Product Managers, and business stakeholders to deliver innovative AI solutions
- Ensure AI solutions meet data governance, regulatory, security, and documentation standards
- Monitor, test, troubleshoot, and continuously improve AI/ML models and platforms throughout their lifecycle, working within Agile teams
Requirements
- Bachelor
’s or Master
’s degree in AI, Data Science, Computer Science, IT, Software Engineering, or a related field
- At least 3 years of professional experience as an AI Engineer
- Advanced proficiency in Python, including OOP, SOLID principles, data structures, algorithms, and performance optimization
- Experience with NumPy, Pandas, Scikit-Learn or similar libraries
- Proven experience with Generative AI, LLMs, AI Agents, RAG, MCP, and multi-agent architectures
- Strong practical knowledge of Machine Learning, including model development, evaluation, deployment, monitoring, and maintenance
- Solid understanding of software architecture, design patterns, Git, CI/CD, testing, monitoring, and observability
- Good knowledge of AWS, GCP, or Azure, with hands-on experience across the data lifecycle, including data engineering, data modeling, preprocessing, feature engineering, and data transformation
- Experience creating dashboards and visualizations using Tableau or similar tools
- Excellent communication and storytelling skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Ability to work independently and collaboratively in global, cross-functional teams
- Familiarity with Agile methodologies, user story creation, and requirements documentation
- English: C1 Advanced
- Romanian: C1 Advanced
