Urgent! Automation Anywhere - AI/MLOps Engineer Job Opening In Bengaluru – Now Hiring Automation Anywhere Software Pvt ltd
<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)
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Unlock Your Automation Anywhere Potential: Insight & Career Growth Guide
Real-time Automation Anywhere Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Automation Anywhere in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 48900 jobs in India and 3481 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Automation Anywhere roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Automation Anywhere Software Pvt ltd is currently hiring and seeking a Automation Anywhere AI/MLOps Engineer to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Automation Anywhere AI/MLOps Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Automation Anywhere AI/MLOps Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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