Automation Anywhere
SaaS
StaffAI/MLEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff AI/ML Engineer at Automation Anywhere. Skills: AI/ML research, ML system design, ML pipeline architecture, model development, Python, ML libraries. Leading ML research, experimentation, and development from concept to deployment. Designing and implementing novel ML/AI approaches”
What You'll Achieve.
boost productivity; accelerate growth; unleash human potential; unlock productivity; accelerate innovation; build the Autonomous Enterprise
Industry & Context.
Analytical Problem Solving; critical thinking and troubleshooting skills to diagnose complex production issues and develop effective, scalable solutions
What They're Looking For.
Must Have
Relevant undergraduate degree in computer science, engineering, mathematics, or a similar discipline required, 7+ 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 team, Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies, Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face), Experience with ML experiment tracking, model versioning, and reproducible research practices, Ability to translate research papers into working implementations, Solid foundation in software development practices (testing, version control, code review)
Nice to Have
Advanced degree in AI/ML or a related field preferred, Background in NLP preferred, Experience with distributed training, MLOps, and cloud ML platforms preferred, Track record of research publications or open-source ML contributions preferred
What You'll Do.
and development from concept to deployment
Designing and implementing novel ML/AI approaches
Architecting ML pipelines
training infrastructure
and model evaluation frameworks
Guiding ML engineering decisions including model selection
and optimization strategies
Translating academic insights into practical applications
Enforcing data governance and privacy
How You'll Work.
Team & Collaboration
Collaborating 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 objectives; Working closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production; Ability to work effectively with product managers, data scientists, and cross-functional engineering teams
Communication Scope
Communicating 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.
Full Job Description
**About Us** Automation 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, Engineering **Location:** Remote role – Athens, Greece. Other locations in Greece considered **You will make an impact by being responsible for:** * Leading ML research, experimentation, an
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