Automation Anywhere

2 months ago

Staff AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead ML research from concept to production in a product-building AI/ML team. Architect scalable ML pipelines, training infrastructure, and evaluation frameworks while collaborating with product managers and stakeholders to align AI/ML solutions with business goals. Mentor junior engineers, drive ML best practices, and translate academic insights into practical enterprise-grade AI capabilities.

Location: Athens

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Leading ML research, experimentation, and development from concept to deployment.
•Designing and implementing novel ML/AI approaches, staying current with cutting-edge research and methodologies.
•Architecting ML pipelines, training infrastructure, and model evaluation frameworks.
•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.
•Mentoring junior ML engineers and establishing ML best practices across the team.

Key Requirements

•7+ years in ML engineering with demonstrated advanced development or research capabilities, including at least 1 year of leadership experience driving technical ML initiatives for a small team.
•Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face).
•Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies.
•Experience with distributed training, MLOps, and cloud ML platforms preferred.
•Advanced degree in AI/ML or a related field preferred.

Experience:7+ yearsAIMLNLPSaaS

Education:Master's

Skills:PythonPyTorchTensorFlowScikit-learnHugging FaceNLPDistributed trainingMLOpsCloud ML platforms

Languages:English

Tech Stack:PythonPyTorchTensorFlowScikit-learnHugging FaceNLPDistributed trainingMLOpsCloud platforms

Company Brief

Automation Anywhere

Provides robotic process automation (RPA) software and AI-driven automation platforms that enable enterprises to automate repetitive business processes, integrate systems, and scale digital workforce initiatives across industries.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Jose, United States

Founded: 2003

Glassdoor: 3.9

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Automation Anywhere

2 months ago

Staff AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Athens

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Leading ML research, experimentation, and development from concept to deployment.
•Designing and implementing novel ML/AI approaches, staying current with cutting-edge research and methodologies.
•Architecting ML pipelines, training infrastructure, and model evaluation frameworks.
•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.
•Mentoring junior ML engineers and establishing ML best practices across the team.

Key Requirements

•7+ years in ML engineering with demonstrated advanced development or research capabilities, including at least 1 year of leadership experience driving technical ML initiatives for a small team.
•Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face).
•Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies.
•Experience with distributed training, MLOps, and cloud ML platforms preferred.
•Advanced degree in AI/ML or a related field preferred.

Experience:7+ yearsAIMLNLPSaaS

Education:Master's

Skills:PythonPyTorchTensorFlowScikit-learnHugging FaceNLPDistributed trainingMLOpsCloud ML platforms

Languages:English

Tech Stack:PythonPyTorchTensorFlowScikit-learnHugging FaceNLPDistributed trainingMLOpsCloud platforms

Company Brief

Automation Anywhere

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Jose, United States

Founded: 2003

Glassdoor: 3.9

Website LinkedIn