AI Platform Implementor Expert
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About the Company
Swan Solutions \& Services Pvt. Ltd. is a leading IT Infrastructure and Digital Transformation company with over 36 years of industry experience. Headquartered in Mumbai, Swan is a ₹1,400\+ Crore organization delivering innovative IT Infrastructure, Cloud, Cybersecurity, Networking, and Managed Services to leading BFSI, PSU, Enterprise, and Corporate customers. We are technology partners with HP, Cisco, Microsoft, VMware, NetApp, and other global OEMs. About the Role
We are looking for an experienced AI Platform Implementor Expert with strong expertise in enterprise IT infrastructure, AI/ML platforms, Kubernetes, MLOps, and GPU\-enabled infrastructure. The role involves designing, implementing, and managing secure, compliant, and scalable AI/ML platforms using technologies such as VMware Private AI and Red Hat OpenShift AI.
The ideal candidate should have experience in enterprise or BFSI environments and a strong understanding of security, compliance, governance, high availability, and disaster recovery requirements.
**Location:** Belapur, Navi Mumbai – Client Site
**Department:** IT Infrastructure
**Employment Type:** Full\-Time / Permanent
**Experience:** 8–10 Years
**Working Days:** Monday to Saturday
**Shift:** General Shift with rotational shift support as per 24×7 client service requirements Key Responsibilities
Design and implement enterprise AI/ML platforms aligned with BFSI compliance and security standards.
Deploy and manage Kubernetes and OpenShift clusters for mission\-critical AI workloads.
Enable end\-to\-end MLOps pipelines for model development, deployment, monitoring, and lifecycle management.
Configure and manage GPU\-enabled infrastructure for high\-performance AI use cases such as fraud detection and risk analytics.
Ensure data security, encryption, access control, and governance in line with BFSI regulatory requirements.
Implement governance frameworks for AI model usage, auditability, and traceability.
Integrate AI platforms with core banking systems, financial applications, and enterprise data platforms.
Ensure high availability, disaster recovery, and business continuity of AI platforms.
Automate infrastructure provisioning and deployment using industry\-standard tools.
Monitor and manage platform performance using Prometheus, Grafana, and enterprise logging solutions.
Conduct risk assessments, compliance checks, and audit readiness activities.
Collaborate with Risk, Compliance, Security, Data Science, DevOps, and IT teams.
Troubleshoot and resolve performance, security, platform, and infrastructure\-related issues.
Coordinate with internal stakeholders and external technology vendors when required.
Job Duties
Collaborate with Data Science, DevOps, and Business teams to enable AI solutions.
Support the end\-to\-end AI lifecycle, including model deployment, monitoring, and optimization.
Maintain secure and compliant AI/ML environments as per BFSI standards and organizational policies.
Implement and monitor access controls, data protection, and AI governance practices.
Automate routine tasks and deployments using standard tools and best practices.
Monitor system performance and proactively identify and resolve issues.
Ensure proper technical documentation, reporting, and audit readiness.
Support Incident Management, Change Management, and Problem Management processes.
Coordinate with internal teams and external vendors for issue resolution and platform operations.
Continuously improve platform efficiency and optimize infrastructure utilization.
Required Skills
Strong expertise in Kubernetes and OpenShift Administration.
Hands\-on experience with VMware vSphere, VMware Tanzu, or the Red Hat ecosystem.
Experience with enterprise AI/ML platforms, preferably in BFSI environments.
Knowledge of containerization technologies such as Docker and CRI\-O.
Understanding of BFSI regulatory frameworks, data privacy, audit, and governance requirements.
Experience with GPU infrastructure, NVIDIA technologies, and CUDA.
Strong knowledge of Linux systems and networking.
Familiarity with security standards such as PCI\-DSS and ISO 27001\.
Experience with MLOps tools such as Kubeflow, KServe, and Seldon.
Exposure to Hybrid Cloud and Private Cloud environments.
Experience with Prometheus, Grafana, and enterprise monitoring and logging tools.
Preferred Qualification
Any Graduate in Information Technology, Computer Science, Engineering, or a related field.
Certifications such as CKA, VCP, or RHCSA will be an added advantage.
Experience working in enterprise IT infrastructure and BFSI environments will be preferred. What We Offer
Opportunity to work on enterprise\-scale AI/ML platform implementation projects.
Exposure to cutting\-edge AI, Kubernetes, MLOps, GPU, VMware, and Red Hat technologies.
Opportunity to work with leading BFSI and enterprise customers.
Exposure to secure and highly regulated technology environments.
Collaborative and technology\-driven work environment.
Career growth through challenging assignments and continuous learning.
Opportunity to work on innovative AI infrastructure and digital transformation initiatives.
Ready to Join Us?
If you are passionate about AI/ML infrastructure, Kubernetes, MLOps, cloud technologies, and enterprise technology transformation, we’d love to hear from you.
Apply today and become a part of Swan Solutions \& Services Pvt. Ltd.
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