Senior AI/ ML Platform Engineer Specialist

Imagine yourself…

• Doing meaningful work that makes an everyday impact on the world around you.
• Growing your expertise and expanding your skillset with every project.
• Contributing to a brighter, more sustainable future.

It’s all possible with a role at Esko. Esko, a Veralto company, is a global provider of integrated software and hardware solutions that accelerate the go-to-market process of packaged goods. Our integrated platform and comprehensive tools empower retailers, pre-media and trade shops, manufacturers, and converters to manage best-in-class packaging design and print processes.

Innovation is built into the DNA of our business: every day, we challenge ourselves to be better by seeking out new ways to elevate our products, our processes, and our people.

We also know that innovation and ingenuity start with prioritizing a diverse workforce and a deeply inclusive workplace. We encourage people from all backgrounds to apply to our positions.

Reporting to the Director – Cloud & AI, the AI / ML Platform Engineer is responsible for designing, building, and evolving next-generation machine learning and generative AI infrastructure that enables scalable, reliable, and automated AI development. This role is located in Bangalore, India (Quarterly once visit to office for 2 weeks).

In this role, a typical day will look like:

• Develop, improve, and maintain the MLOps platform to support scalable, reproducible, and observable machine learning and generative AI workflows.
• Design and operate core ML infrastructure including feature stores, model registries, CI/CD pipelines, and data pipelines using AWS services such as SageMaker, ECS/EKS, Lambda, and Step Functions.
• Enable and support AI and ML development teams, providing best practices, tooling, and technical guidance on leveraging the platform for training, fine-tuning, and deployment.
• Drive architecture and technology decisions across the ML stack, including frameworks, orchestration, data processing, and observability tools.
• Collaborate with AI engineering teams to integrate LLMs and generative AI capabilities into products using secure, standardized, and auditable infrastructure.
• Continuously evaluate and adopt emerging tools and technologies such as LangChain, Ray, MLflow, Kubeflow, and Hugging Face to improve platform capability and developer productivity.

The essential requirements of the job include:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in ML/AI platform engineering, infrastructure engineering, or MLOps, preferably in enterprise or SaaS environments.
• Strong hands-on experience with AWS cloud services, including SageMaker, ECS/EKS, S3, Lambda, Step Functions, and Terraform/CloudFormation.
• Proficiency in Python, Docker, and Kubernetes for building and operating scalable ML infrastructure.
• Experience with MLOps tools/frameworks such as MLflow, Kubeflow, Vertex AI, Azure ML, or equivalent, along with familiarity in LLM infrastructure, vector databases, and RAG-based systems.

Esko is proud to be part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 17,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way.

Contact @KaranGadi

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.  Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
 

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