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.
Role:
- We are seeking a seasoned AI/ML Engineer to join our Cloud Operations (CloudOps) team. The ideal candidate should have strong expertise in designing, developing, and deploying AI/ML models and automation solutions that optimize cloud infrastructure management and operational efficiency.
Primary Responsibilities:
- Design, develop, and deploy machine learning models and AI algorithms to automate cloud infrastructure, monitoring, fault detection, and predictive maintenance.
- Collaborate with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to to integrate AI/ML solutions into cloud orchestration and management platforms.
- Build scalable data pipelines and workflows using cloud-native services (preferably AWS, GCP) for real-time and batch ML model training and inference.
- Analyze large volumes of cloud telemetry data (logs, metrics, traces) to extract actionable insights using statistical methods and ML techniques.
- Implement anomaly detection, capacity forecasting, resource optimization, and automated remediation solutions.
- Develop APIs and microservices to expose AI/ML capabilities for CloudOps automation.
- Work with SecOps to ensure ML models comply with privacy, and governance standards.
- Optimize existing AI/ML workflows for cost, performance, and accuracy.
- Stay updated with the latest trends in AI/ML, cloud computing, and infrastructure automation.
Skills & Requirements:
- 6+ years of professional experience in AI/ML engineering, preferably in cloud infrastructure or operations environments.
- Strong proficiency in Python (relevant libraries such as pandas and numpy) or R, or similar programming languages used in AI/ML development.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.
- Hands-on experience with MCP Server, AI Agents, and A2A (Agent-to-Agent) communication
- Experience with Large Language Model (LLM) operations (LLM Ops)
- Expertise in cloud platforms (AWS, Azure, or GCP) and their AI/ML services (e.g., SageMaker, Bedrock, Anthropic, Azure ML, OpenAI, Vertex AI).
- Strong understanding of data structures, algorithms, and statistical modeling.
- Experience building and maintaining data pipelines using tools like Apache Spark, Kafka, Airflow, or cloud-native alternatives.
- Knowledge of containerization and orchestration (Docker, Kubernetes) to deploy ML models in production.
- Familiarity with infrastructure monitoring tools (Prometheus, Grafana, ELK Stack) and cloud management platforms.
- Experience with CI/CD pipelines and automation tools in cloud environments.
- Excellent problem-solving skills and ability to work independently as well as in cross-functional teams.
- Strong communication skills for collaborating with technical and non-technical stakeholders.
- Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation.
- Experience with cybersecurity principles related to cloud and AI/ML systems.
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
Top Skills
What We Do
Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity.
With 2.8M bots deployed at customers in 90 countries, and a network of over 2100 partners, we are a leader in the Gartner Magic Quadrant, and our AI-powered digital workforce platform optimizes the business processes of the world's largest enterprises and governments in virtually every industry including 85% of the top banks and financial institutions, 90% of the top healthcare institutions, 85% of the top technology companies, and 80% of the top telecom companies.
Industry Awards and highlights:
· Named a leader each year of Gartner Magic Quadrant for Robotic Process Automation
· Named a Leader in Forrester Wave
· Named a Leader and Star Performer in Everest Peak Matrix
· Named a Leader in Nelson Hall NEAT Intelligent Automation Report
· G2 Crowd 2020 Best Software Company
· First Cloud-native digital workforce platform
· 850+ pre-built, intelligent automation solutions
· Bot security and IP protection
· SaaS packages
· Over 1.4M courses completed in Automation Anywhere University
· Free AI-powered Community edition
Try the world’s most advanced digital workforce platform today: https://bit.ly/startRPAtoday
