Urgent! AI/ML Ops Engineer Job Opening In Bengaluru – Now Hiring Automation Anywhere, Inc.
**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.
**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.**
Equal Opportunity Employer Automation Anywhere is an equal opportunity employer – M/F/D/V.
We want to have the best available persons in every job.
We will not discriminate in our employment practices due to an applicant’s race, color, creed, gender, religion, marital status, age, national origin and ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status or any other category protected by law.
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Unlock Your AI ML Potential: Insight & Career Growth Guide
Real-time AI ML 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 AI ML 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 112542 jobs in India and 6065 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in AI ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Automation Anywhere, Inc. is currently hiring and seeking a AI/ML Ops Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI/ML Ops Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Automation Anywhere, Inc. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI/ML Ops 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 AI/ML Ops Engineer typically include Other General 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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Before the Interview:To prepare for your AI/ML Ops Engineer interview at Automation Anywhere, Inc., research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Automation Anywhere, Inc.'s products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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