Manager, AI Platform
Gurgaon, IN
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Boston Scientific
Boston Scientific is dedicated to transforming lives through innovative medical solutions that improve the health of patients around the world.Additional Locations:Â India-Haryana, Gurgaon
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
At Boston Scientific, weâll give you the opportunity to harness all thatâs within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, weâll help you in advancing your skills and career. Here, youâll be supported in progressing â whatever your ambitions.
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Manager, AI Platform
We are seeking a result-driven AI ML Platform Manager with a strong background in cloud technologies ( AWS, Azure) to lead the strategic development and delivery of enterprise-grade AI/ML platforms. This role is pivotal in enabling scalable, secure, and resilient business applications, integrating cloud-based systems, and driving digital transformation initiatives. This role will lead teams to achieve performance objectives and provide deep insights into best practices for solving complex problems. Â
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Key Responsibilities include:Â
- Lead an platform org of Cloud Administrators, Support Engineers, GenAI Ops Engineers and GenAI architectsÂ
- Collaborate with business unit heads, PMOs, and product managers to translate requirements into reliable platform capabilitiesÂ
- Leading engagement delivery and managing client relationships on daily basisÂ
- Standardize platform services across cloud and on-prem environments, ensuring alignment with enterprise architectureÂ
- Accountable for program/project management and engagement economicsÂ
- Implement cost optimization and performance tuning for cloud workloadsÂ
- Lead cross-functional teams in developing APIs, integrations, and microservices that support data flow across systemsÂ
- Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormationÂ
- Implement observability tools (e.g., Fiddler, Datadog, Prometheus, Splunk) across enterprise workloadsÂ
- Enforce zero trust principles, encryption standards, and cloud security baselinesÂ
- Strong knowledge on micro-services deployment architecture with K8S experienceÂ
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Required Qualification:Â
- Bachelor's/Masterâs in Computer Science, Engineering, or related disciplineÂ
- 10+ years of experience in enterprise platform tools with 4 years of strong AI ML platform experience and 6+ years of cloud experienceÂ
- Proven experience in managing infrastructure and workloads on AWS, Azure, or GCPÂ
- Strong communication and stakeholder management skills, with the ability to collaborate effectively across diverse teams and functionsÂ
- Strong understanding of business, budget, vendor management, financial management, team management.
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Requisition ID:Â 610749
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As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most â united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do â as a global business and as a global corporate citizen.
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So, choosing a career with Boston Scientific (NYSE: BSX) isnât just business, itâs personal. And if youâre a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: APIs Architecture AWS Azure CI/CD CloudFormation Computer Science Economics Engineering GCP Generative AI Kubernetes Machine Learning Microservices Pipelines Security Splunk Terraform
Perks/benefits: Career development
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