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Danaher Corporation ML (Machine Learning) Ops Engineer in Bangalore, India

Position Description

As an MLOps engineer, you will help build best-in-class Machine Learning(ML) infrastructure to enable Danaher’s AI initiatives. You will lead and drive the deployment, life cycle management and monitoring of Machine Learning(ML) and Deep Learning (DL) models in in all stages leading to production. You will work directly with Data Scientists and the rest of the Data Platform Engineering team to productionize ML/DL models developed for cloud and edge environments. With your experience in MLOps tools and frameworks, you will work to improve Data scientist and Data engineer productivity and delivery speed by enabling them to be more self-sufficient with automated operational processes.

Responsibilities

  • Define, deploy and manage processes and tools for continuous integration (CI/CD), test-driven development, and release management for ML/DL models (Machine Learning and Deep Learning based) and data pipelines.

  • Provision and configure secure high performance computing environments (clusters, storage, API gateways etc ) to support hosting of ML/DL models at scale

  • Code and/or script solutions to automate processes for ML/DL model deployments, retraining, testing and monitoring.

  • Collaborate with Data Scientists, Data Engineers, ML Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML/DL model life cycle.

  • Build and improvise the automated tools to build infrastructure, monitoring and alerting system and visualization

  • Ensures adherence to performance standards and compliance to data and model security requirements.

  • Keep up with emerging best practices in MLOps and drive adoption as necessary.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering or a related field with 5-8 years’ experience.

  • Minimum 3 years experience in DevOps combined with AWS/Azure technologies such as EC2, ELB, Auto Scaling, Route 53, S3, Cloud Formation

  • 2+ years experience in deploying enterprise-scale machine learning solutions in Life Sciences, Medical Diagnostics, Utilities and/or industrial markets

  • Experience in one or more MLOps tools such as Kubeflow, MLFlow, Pachyderm, DVC etc.

  • Experience setting up and tuning databases for production usage for ML/DL-based applications

  • 2+ years of experience in AWS, Azure, Virtualization, Terraform, Docker, Kubernetes:

  • 2+ years of experience in opensource or AWS/Azure monitoring tools, GIT, Node deployment tools and continuous integration tools

  • 3+ years strong experience in Deployment (CI/CD) tools: e.g. Chef, Jenkins, Maven, Craddle, Puppet, Ansible, Quay

  • Experience in incident management

  • 3+ years of experience with Bash PowerShell and other similar script writing skills

  • Ability to work with cross-functional and remote teams.

    Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The “EEO is the Law” poster is available here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .

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