As an AI Engineer, you'll dive into shaping the future of finance through agile and modern work methods.
You’ll work on building real automations by embedding GenAI and LLMpowered agents directly into workflows and internal tools.
Our culture thrives on a flat hierarchy, embracing open sharing of ideas and diverse viewpoints.
Expect ample chances for learning and growth, courtesy of extensive training programs.
Join an innovative company leading the tech charge, engaging in cutting-edge work that challenges and inspires.
Achieve work-life balance within a dynamic environment, with the potential for global mobility within our large organization.
Find stability for the long haul, with options for hybrid work and flexible schedules.
Explore a multitude of innovative initiatives like our Innovation Hubs, SEBx, Ted Talks, Design Sprint Week, and more, showcasing our commitment to innovation.

Requirements

Development of data structures, and reporting solutions practice
Experience with data processing and ETLs
Bachelor in Mathematics, Physics, Statistics, or Computer Science
Practical experience of 3 years+ working as data analyst, software developer, engineer with python as main programming language.
Experience with ML/AI frameworks like PyTorch, TensorFlow,
Supervised/unsupervised learning, SVM, neural networks, CNN, optimization, overfitting, evaluation metrics, etc
Knowledge of transformers, tokenization, embeddings, LLMs, RAG, etc

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonData structuresETLMachine LearningArtificial IntelligencePyTorchTensorFlowSupervised learningUnsupervised learningNeural networks

Soft Skills

CollaborationOpen sharing of ideasAdaptabilityInnovative thinkingCommunication

Certifications

Bachelor in MathematicsBachelor in PhysicsBachelor in StatisticsBachelor in Computer Science