Director - Platform Deployment and Management
2 weeks ago
Job Description Role Summary The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role requires a deep technical background in cloud infrastructure, MLOps, and large-scale systems, combined with proven experience in leading high-performing engineering teams. Responsibilities Technical Execution & Architecture: - Translate the long-term vision into an executable technical roadmap, making key architectural decisions for the platform. - Lead the hands-on design and implementation of our MLOps/LLMOPs framework, including CI/CD for models, data/model versioning, automated workflows, and monitoring. - Engineer and manage a scalable, multi-cloud infrastructure (AWS/GCP/Azure) using Infrastructure as Code (IaC) principles (Terraform, CloudFormation). - Oversee the technical integration, scaling, and reliability of data annotation platforms and the GIG worker technology layer. - Drive SRE best practices to ensure high availability, performance, and security of the entire platform. Team & Operational Leadership - Recruit, lead, mentor, and directly manage a team of Cloud, DevOps, MLOps, and Site Reliability Engineers. - Foster a culture of technical excellence, automation, and accountability within the engineering team. - Manage the day-to-day project timelines, resource allocation, and operational activities to ensure successful platform delivery. - Implement and optimize the cloud budget (FinOps) for your domain, ensuring cost-effective scaling. Stakeholder & Client Engagement - Act as the primary technical expert in project-level discussions with clients, providing detailed solutioning and estimation for new deals. - Collaborate closely with product management and service delivery teams to ensure the platform meets their requirements. Skills & Qualification - Experience: 12+ years in platform engineering or DevOps, with at least 4 years in a leadership role directly managing engineering teams. - Cloud Architecture Mastery: Deep, hands-on experience designing and managing complex infrastructure on AWS, GCP, or Azure. Expertise with Kubernetes (EKS, GKE, AKS), serverless, and core cloud services. - Expertise in MLOps/LLMOPs: Demonstrable, in-depth implementation experience with the full MLOps lifecycle (e.g., Kubeflow, MLflow, Seldon, DVC, Airflow) and infrastructure for LLMs (Vector DBs, fine-tuning environments). - Infrastructure as Code (IaC): Strong, hands-on proficiency with Terraform or CloudFormation is a must. - Technical Leadership: Proven ability to lead, mentor, and scale a technical team, driving projects from conception to production. - Problem Solving: Exceptional ability to debug and solve complex technical issues in a distributed systems environment.
-
Senior Director
5 days ago
Chennai, India Cognizant Full timeJob Description Role: Senior Director: Platform Deployment and Management India Business Vertical: AITDS Technology Role Summary The Senior Director of AI Platform & MLOps is a senior strategic leader who will define the technology vision and roadmap for the entire AI Training Data Services business. You are responsible for ensuring our platform provides a...
-
Chennai, Tamil Nadu, India Cognizant Technology Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per yearRole Summary:The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role...
-
Platform Director
2 days ago
Pune, India dentsu Full timeJob Description The purpose of this role is to provide end to end leadership for a set of technology platforms in support of an entire business function such as Finance. Partnering with the business, this role will drive end-to-end delivery, deployment and support of all applications in this space as well as ensuring the set of platforms bring business...
-
Deployment Engineer
2 weeks ago
Chennai, India Tata Consultancy Services Full timeTechnical Experience: Experience in deploying complex, multi-component systems, preferably in cloud environments (AWS). Deep understanding of AI models, especially LLMs, and the infrastructure required to support them. Familiarity with agent-based modelling systems and their deployment nuances. Hands-on experience with low-code/no-code platforms and their...
-
Deployment Engineer
3 weeks ago
Chennai, India Tata Consultancy Services Full timeTechnical Experience: Experience in deploying complex, multi-component systems, preferably in cloud environments (Azure, AWS). Deep understanding of AI models, especially LLMs, and the infrastructure required to support them. Familiarity with agent-based modelling systems and their deployment nuances. Hands-on experience with low-code/no-code platforms and...
-
Deployment Engineer
3 weeks ago
Chennai, India Tata Consultancy Services Full timeTechnical Experience:- Experience in deploying complex, multi-component systems, preferably in cloud environments (Azure, AWS).- Deep understanding of AI models, especially LLMs, and the infrastructure required to support them.- Familiarity with agent-based modelling systems and their deployment nuances.- Hands-on experience with low-code/no-code platforms...
-
Deployment Engineer
2 weeks ago
Chennai, India Tata Consultancy Services Full timeTechnical Experience:Experience in deploying complex, multi-component systems, preferably in cloud environments (AWS).Deep understanding of AI models, especially LLMs, and the infrastructure required to support them.Familiarity with agent-based modelling systems and their deployment nuances.Hands-on experience with low-code/no-code platforms and their...
-
Deployment Engineer
3 weeks ago
Chennai, India Tata Consultancy Services Full timeTechnical Experience:Experience in deploying complex, multi-component systems, preferably in cloud environments (Azure, AWS). Deep understanding of AI models, especially LLMs, and the infrastructure required to support them.Familiarity with agent-based modelling systems and their deployment nuances.Hands-on experience with low-code/no-code platforms and...
-
Deployment engineer
3 weeks ago
Chennai, India Tata Consultancy Services Full timeTechnical Experience:Experience in deploying complex, multi-component systems, preferably in cloud environments (Azure, AWS).Deep understanding of AI models, especially LLMs, and the infrastructure required to support them.Familiarity with agent-based modelling systems and their deployment nuances.Hands-on experience with low-code/no-code platforms and their...
-
Senior Director
2 days ago
Chennai, Tamil Nadu, India Cognizant Technology Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per yearRole: Senior Director: Platform Deployment and Management – IndiaBusiness Vertical: AITDS – TechnologyRole Summary:The Senior Director of AI Platform & MLOps is a senior strategic leader who will define the technology vision and roadmap for the entire AI Training Data Services business. You are responsible for ensuring our platform provides a significant...
