AI / ML Platform Engineer Specialist at Veralto

, , India -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, AWS, MLOps, Python, Docker, Kubernetes, Data Pipelines, CI/CD, DevOps, Infrastructure-as-Code, Observability, Security, Compliance, Vector Databases, LLM Infrastructure

Industry

Printing Services

Description

Are you… Interested to work on cutting edge AI work and be a front runner in AI space? Excited to work on solving business problems using AI? Interested in developing your career in a leading packaging and printing industry? Interested in working for a company that is dedicated to sustainability? If so, read on! 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 products empower teams to support and manage the packaging design and print processes for brand owners, retailers, pre-media and trade shops, manufacturers, and converters to provide the most innovative, integrated platform and comprehensive portfolio of tools that intelligently digitize, connect, automate, and accelerate the concept to market processes for every packaged product. You will be part of a flexible, family friendly organization that cares about its people just as it cares about the environment. We recognize that people come with a wealth of experience and talent. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions. We are looking for an AI / ML Platform Engineer to design, build, and evolve our next-generation machine learning and generative AI infrastructure. This role focuses on enabling scalable, reliable, and automated AI development through a modern MLOps platform—primarily on AWS, but adaptable across multi-cloud environments. The ideal candidate combines deep software and platform engineering expertise with strong knowledge of MLOps practices and AI/LLM ecosystem tooling. You will partner closely with data science, AI, and product engineering teams to accelerate model delivery and operational excellence through infrastructure, tooling, and platform services. Role is Hybrid and its preferable to have incumbent based in Bangalore. In this role, a typical day will look like: Develop, improve, and maintain the MLOps platform to enable scalable, reproducible, and observable machine learning and generative AI workflows. Design and operate core ML infrastructure (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 technology and architecture decisions across the ML stack, including frameworks, data processing, orchestration, and monitoring tools. Collaborate with AI engineering teams to integrate LLMs and generative AI capabilities into products through standardized, secure, and auditable infrastructure. Ensure platform scalability, reliability, and compliance by applying DevOps, infrastructure-as-code (IaC), and observability best practices. Continuously evaluate and integrate emerging technologies (e.g., LangChain, Ray, MLflow, Kubeflow, Hugging Face) to enhance developer productivity and operational efficiency. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. 4+ years of experience in ML/AI platform or infrastructure engineering, preferably in enterprise or SaaS environments. Strong experience with AWS cloud services (SageMaker, ECS/EKS, S3, CloudFormation/Terraform, Step Functions, Lambda). Expertise in MLOps frameworks and tools (MLflow, Kubeflow, Vertex AI, Azure ML, or equivalent). Solid software engineering background with proficiency in Python, containerization (Docker), and Kubernetes orchestration. Proven ability to design and operate scalable data and ML infrastructure with a focus on automation, observability, and governance. Familiarity with vector databases (FAISS, Pinecone, Weaviate) and LLM infrastructure (RAG, prompt orchestration, model serving). Understanding of security, access control, and compliance in AI/ML environments. Preferred Qualifications Experience implementing CT/CD (Continuous Training and Deployment) pipelines and feature stores. Familiarity with multi-cloud MLOps or hybrid environments. Exposure to LLM and agentic frameworks (LangChain, LlamaIndex, Semantic Kernel). Experience with IaC and DevOps automation (Terraform, CDK, GitHub Actions, Argo). Background in platform enablement, building internal tools or SDKs for ML practitioners. Contributions to open-source or internal platform frameworks related to AI/ML. Behavioral & Collaboration Skills Strong communication skills and ability to influence technical decisions across teams. A service-oriented mindset — enabling others to move faster and build reliably. Passion for developer experience, system reliability, and scalable design. Curiosity to continuously learn and integrate new MLOps and AI ecosystem tools. At Esko, a Veralto Company, innovation comes in every color and never in the same package. Join Esko and see how diversity of people and thought fuels a career journey like no other. Create unique technology solutions for the packaging value chain, bring new ideas to life, make and influence decisions, and experience career growth, rewards, and recognition in our global Packaging & Color organizations. Esko is proud to be a Product Quality & Innovation company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today. Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World’s Most Vital Resources. 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. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral. Thank you for your interest. Please read our Applicant Data Privacy Notice carefully here.

Responsibilities

Develop, improve, and maintain the MLOps platform to enable scalable, reproducible, and observable machine learning and generative AI workflows. Collaborate with AI engineering teams to integrate LLMs and generative AI capabilities into products through standardized, secure, and auditable infrastructure.