<p><p><b>AI/ML Ops Engineer</b><br/><br/><b>Exp :</b> 6- 12 Years<br/><br/><b>Location :</b> Us :</b></p><p><br/>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 industrys first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analyticsall 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.</p><br/><b>Role :</b><br/><br/> 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.<br/><br/><b>Primary Responsibilities :</b><br/><br/>- Design, develop, and deploy machine learning models and AI algorithms to automate cloud infrastructure, monitoring, fault detection, and predictive maintenance.<br/><br/></p><p>- Collaborate with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to to integrate AI/ML solutions into cloud orchestration and management platforms.</p><p><br/>- Build scalable data pipelines and workflows using cloud-native services (preferably AWS, GCP) for real-time and batch ML model training and inference.<br/><br/></p><p>- Analyze large volumes of cloud telemetry data (logs, metrics, traces) to extract actionable insights using statistical methods and ML techniques.<br/><br/></p><p>- Implement anomaly detection, capacity forecasting, resource optimization, and automated remediation solutions.<br/><br/></p><p>- Develop APIs and microservices to expose AI/ML capabilities for CloudOps automation.<br/><br/></p><p>- Work with SecOps to ensure ML models comply with privacy, and governance standards.<br/><br/></p><p>- Optimize existing AI/ML workflows for cost, performance, and accuracy.<br/><br/></p><p>- Stay updated with the latest trends in AI/ML, cloud computing, and infrastructure automation.<br/><br/><b>Skills & Requirements :</b><br/><br/>- 6+ years of professional experience in AI/ML engineering, preferably in cloud infrastructure or operations environments.</p><p><br/>- Strong proficiency in Python (relevant libraries such as pandas and numpy) or R, or similar programming languages used in AI/ML development.<br/><br/></p><p>- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.<br/><br/></p><p>- Hands-on experience with MCP Server, AI Agents, and A2A (Agent-to-Agent) communication<br/><br/></p><p>- Experience with Large Language Model (LLM) operations (LLM Ops)<br/><br/></p><p>- Expertise in cloud platforms (AWS, Azure, or GCP) and their AI/ML services (e.g., SageMaker, Bedrock, Anthropic, Azure ML, OpenAI, Vertex AI).</p><p><br/></p><p>- Strong understanding of data structures, algorithms, and statistical modeling.<br/><br/></p><p>- Experience building and maintaining data pipelines using tools like Apache Spark, Kafka, Airflow, or cloud native alternatives.<br/><br/></p><p>- Knowledge of containerization and orchestration (Docker, Kubernetes) to deploy ML models in production.<br/><br/></p><p>- Familiarity with infrastructure monitoring tools (Prometheus, Grafana, ELK Stack) and cloud management platforms.</p><p><br/></p><p>- Experience with CI/CD pipelines and automation tools in cloud environments.<br/><br/></p><p>- Excellent problem-solving skills and ability to work independently as well as in cross-functional teams.<br/><br/></p><p>- Strong communication skills for collaborating with technical and non-technical stakeholders.<br/><br/></p><p>- Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation.<br/><br/></p><p>- Experience with cybersecurity principles related to cloud and AI/ML systems.</p><br/></p> (ref:hirist.tech)