Machine Learning Engineer

GENERAL DESCRIPTIONWe are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.KEY FEATURES OF THE POSITIONFunctional / TechnicalDevelop, deploy, and optimize machine learning and AI solutions that address complex business challenges.Create multi-agent systems and equip AI models with function/tool-calling capabilitiesDesign and implement RAG systems to ground AI responses in enterprise dataAssess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliabilityOptimize agentic workflows and AI agents for production use casesTesting and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputsPerformance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon themCollaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processesParticipate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutionsSKILLS REQUIREMENTS OF THE POSITIONCompetenciesStrong problem-solving and analytical skills, with the ability to think critically and creatively about complex challengesExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organizationAbility to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on scheduleContinuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligenceAttention to detail and commitment to producing high-quality, reliable, and maintainable codeEducation and skills requirementsBachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related fieldStrong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorchProven experience working with Large Language Models (LLMs)Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patternsExperience with data preprocessing, feature engineering, and model selection and evaluation techniquesKnowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimizationUnderstanding software development best practices, including version control, testing, and documentationExcellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectivelyMinimum 3 – 6 years of relevant work experience in machine learning, data science or a related field