MLOps Engineer Job Vacancy in Cardinal Health Bengaluru, Karnataka – Updated today
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Full Details :
Company Name : Cardinal Health
Location : Bengaluru, Karnataka
Position :
Job Description : Job Overview:
Job Overview
As a MLOps Engineer, you will help define and implement cloud-based infrastructure for Machine Learning and Artificial Intelligence initiatives. In this critical role, you will define MLOps practices and deliver new capabilities for model training, model packaging, deployment, ongoing monitoring tools, and metrics. As a primary subject matter expert, you will be providing consultation services and guiding various build and operations teams to productionize ML workloads
The role is part of Cloud Data Engineering team that leverages emerging cloud technologies to build Data Pipelines, and enterprise scale Data Platforms supporting Analytics and ML/AI solutions. CDE Team leverages agile DevOps (DataOps, MLOps) practices, and automation to enable speed, quality, and provide a seamless experience to customers.
Responsibilities:
Design prototypes, build, and refine scalable infrastructure for deploying machine learning workloads at scale
Define MLOps practices, and deliver new capabilities for model training, model packaging, deployment, ongoing monitoring tools, and metrics
Develop pipelines and automations to manage ML infrastructure, deployments, operations and tracking effectiveness of the models
Work directly with Data Scientists, ML engineers and other stake holders to enable successful deployments of ML/AI workload
Use deep subject matter expertise, influence and process skills to help stakeholders identify and meet their high priority needs while considering cultural and diversity implications
Encourage informed risk-taking and act as a catalyst for innovation at Cardinal Health
Proactively develop, maintain and evangelize technical knowledge in Machine Learning and adjacent technologies
Desired Qualifications:
Bachelor’s degree preferred or equivalent work experience
3+ years of engineering experience in Big Data systems, Data Analytics and ML/AI related field
Hands-on experience managing Data and ML Platforms at production scale
Strong background in Cloud Computing and Distributed Software design and development
Familiarity with Kubernetes or other container orchestration tools in a production setting
Experience in artificial intelligence, cognitive computing, machine learning and related technologies
Experience in designing and optimizing ML models using GCP ML technologies
Experience with AirFlow, KubeFlow and BigQuery is preferred
Experience integrating GCP or 3rd party KMS, HSM with GCP data services for building secure data solutions
Experience with CI/CD pipelines such as Concourse, Jenkins
Ability to work in a fast-paced environment and strong technical communication skills
Agile development skills and experience
Google Cloud Platform certification is a plus
Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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