Staff AI/ML Engineer

About UsAutomation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.Our opportunity:Automation Anywhere is the leader in Agentic Process Automation (APA), redefining how enterprises automate and scale work through AI-powered automation. Our AI-native APA platform combines advanced AI agents, machine learning, orchestration, and enterprise-grade automation to help organizations unlock productivity, accelerate innovation, and build the Autonomous Enterprise. As we continue to push the boundaries of AI and intelligent automation, we are looking for exceptional AI/ML talent to help shape the future of enterprise AI.Join our Product-building AI/ML team where you’ll have the opportunity to lead cutting-edge AI and machine learning research initiatives while continuing to grow as a hands-on software engineer. This role offers the unique chance to drive ML innovation from concept to production — influencing research direction, developing scalable ML systems, and bringing advanced AI capabilities into real-world enterprise products. If you’re passionate about solving complex problems, translating research into impactful applications, and accelerating your technical growth in a fast-moving AI environment, we’d love to meet you.Who you’ll report to:This role reports to our Sr. Director, EngineeringLocation:Remote role – Athens, Greece. Other locations in Greece consideredYou will make an impact by being responsible for:Leading ML research, experimentation, and development from concept to deploymentDesigning and implementing novel ML/AI approaches, staying current with cutting-edge research and methodologiesArchitecting ML pipelines, training infrastructure, and model evaluation frameworksCollaborating with cross-functional teams: Working closely with product managers, and other stakeholders to ensure the AI/ML solutions align with the organization's goals and objectivesCommunicating effectively: Clearly document your work and effectively communicate your findings, insights, and recommendations to both technical and non-technical stakeholders, fostering a collaborative and informed environment.Guiding ML engineering decisions including model selection, feature engineering, and optimization strategiesTranslating academic insights into practical applicationsMentoring junior ML engineers and establish ML best practices across the teamWorking closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to productionEnforcing data governance and privacy: Follow processes and implement methods that ensure data governance, privacy, and securityYou will be a great fit if you have:Relevant undergraduate degree in computer science, engineering, mathematics, or a similar discipline required. Advanced degree in AI/ML or a related field preferred7+ years in ML engineering with demonstrated advanced development or research capabilities (innovative projects, publications, theses) including at least 1 year of leadership experience driving technical ML initiatives for a small teamDeep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologiesStrong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)Experience with ML experiment tracking, model versioning, and reproducible research practicesAbility to translate research papers into working implementationsSolid foundation in software development practices (testing, version control, code review)Background in NLP preferredExperience with distributed training, MLOps, and cloud ML platforms preferredTrack record of research publications or open-source ML contributions preferredYou excel in these key competencies:Collaborative Communication – Ability to work effectively with product managers, data scientists, and cross-functional engineering teams to deliver high-value solutionsAnalytical Problem Solving – Strong critical thinking and troubleshooting skills to diagnose complex production issues and develop effective, scalable solutionsOwnership & Accountability – Demonstrates end-to-end responsibility for system reliability, performance, and operational excellence, including proactive monitoring and issue resolutionTechnical Leadership & Mentorship – Ability to guide, mentor, and elevate other engineers while fostering best practices in system design, code quality, and AI-assisted developmentContinuous Improvement Mindset – Proactively identifies technical debt, improvement opportunities, and