Senior MLOps
3 weeks ago
Job Description Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Key Responsibilities - Design, implement, and optimize MLOps/AI Ops architectures supporting scalable AI/ML solutions. - Build and manage cloud-native infrastructure using Azure, Kubernetes, Docker, Terraform, and CI/CD pipelines. - Lead end-to-end AI/ML lifecycle operations, including data ingestion, model training, versioning, deployment, and monitoring. - Implement and manage agent/model registries, automated deployment workflows, and model monitoring systems. - Drive AI Ops capabilities, including prompt lifecycle management, RAG pipeline optimization, semantic search enhancements, vector database integration, and LLM observability. - Establish robust monitoring, alerting, and performance tuning practices for large-scale production systems. - Collaborate with data engineering teams to ensure efficient data pipelines and infrastructure alignment. - Ensure high standards of security, governance, and reliability across ML/AI systems. - Implement security best practices such as IAM, secrets management, policy-as-code, drift detection, and audit trails. - Optimize production systems for autoscaling, resiliency, and cost efficiency. - Evaluate emerging technologies and recommend enhancements to the AI/ML platform. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are Who You Are You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others. Required Skills & Expertise - 12+ years of overall experience, with strong expertise in MLOps, AI Ops, and cloud infrastructure. - Hands-on experience with Kubernetes, Docker, Terraform, Azure cloud, and CI/CD pipelines. - Strong understanding of the full AI/ML lifecycle, including data engineering, model development, deployment, monitoring, and retraining. - Experience with LLM lifecycle, prompt management, RAG frameworks, vector databases, semantic caching, and observability tools. - Solid understanding of infrastructure-as-code, automation, and cloud-native architectures. - Knowledge of IAM, secrets management, security policies, audit logging, and compliance frameworks. - Proven ability in performance tuning, autoscaling, and managing large-scale distributed systems. - Excellent communication, collaboration, and leadership skills. Good to Have - Experience with reliability engineering, SRE practices, and cost-optimization strategies. - Exposure to monitoring tools and frameworks for AI/ML observability. - Certifications in Azure, Kubernetes, DevOps, or AI/ML. Education - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.
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