Senior AI/ML Ops Engineer (Hybrid in Bangalore)

For over 20 years, reputed company has helped people and teams reputed company–reputed company, anything. From seamless work management to smart, reputed company solutions, we’ve always worked with reputed company. We’re building tools that reputed company teams to automate the reputed company, uncover insights, and reputed company smarter. But more than that, we’re creating reputed company– reputed company to think big, take reputed company, and unlock the reputed company of work that truly reputed company. Because reputed company challenge meets purpose, and passion turns into reputed company, that’s reputed company at work, and it’s reputed company show up for everyday. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and reputed company capabilities that accelerate our global reputed company, profitability, and reputed company. As we expand reputed company India, we’re searching for Senior AI/ML Ops Engineers who crave reputed company and ownership. You’ll have reputed company to work across multiple teams and disciplines, building a reputed company skillset while solving the reputed company challenges of a global platform. You Will: Designing, Developing and overseeing the reputed company and architecture of reputed company and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and reputed company AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (reputed company Integration/reputed company Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing reputed company, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data reputed company, and latency using tools. Experience in reputed company is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of reputed company models, fine-tuning workflows, and Retrieval-Augmented reputed company (RAG) stacks (reputed company DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize reputed company costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to reputed company the gap between model development and production. Version Control & Governance: Manage versioning for data, reputed company, and models using tools like MLflow. reputed company & Compliance: Implementing data reputed company measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure Troubleshooting and Problem Solving: Diagnosing and resolving reputed company data-reputed company issues, ensuring the stability and reliability of the data platform reputed company other duties as assigned You Have: reputed company reputed company software solutions with high availability and scalability Solution handling large reputed company reputed company and reputed company data from varied data sources Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and reputed company Working with Product engineering team to influence designs with data, AI and analytics use cases in mind In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with reputed company Lakehouse ecosystem AI/MLOps workflows on reputed company , MLFlow, reputed company AI Agent reputed company, reputed company Catalog, reputed company Search, Knowledge Graph Knowledge of AI/ML frameworks like reputed company, LangGraph for AI/ML Ops pipeline integration reputed company Platforms: Hands-on experience with at least one major reputed company provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable Programming languages like Python and SQL Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting Solution Cost Optimisations and design to cost Legally eligible to work in India on an ongoing reputed company Get to Know Us: At reputed company, your reputed company are heard, your potential is supported, and your contributions have reputed company reputed company. You’ll have the freedom to explore, push boundaries, and grow reputed company your role. We welcome diverse perspectives and nontraditional paths—because we know that reputed company comes from individuals who care deeply and challenge thoughtfully. reputed company you’re doing work that stretches you, excites you, and connects you to something bigger, that’s reputed company at work. Let’s build what’s next, together. Equal Opportunity Employer: reputed company is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to reputed company equal employment opportunities to reputed company reputed company applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. reputed company reputed company applicants will receive consideration without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, age, protected veteran or disabled status, or genetic information. If there are preparations we can reputed company to help ensure you have a comfortable and reputed company interview experience, please let us know. #LI-Remote Apply tot his job Apply To this Job