SGK | AI Data and MLOps Engineer

4 days ago

Delhi, India SGK Full time
About SGK

SGK is a global packaging and brand experience company. From idea to implementation, we deliver packaging solutions and brand experiences that give brands the freedom to speak louder, scale faster and grow stronger. We simplify marketing and amplify brands to deliver value. SGK is a Matthews International company.

Position Summary

We are seeking an experienced

AI Data and MLOps Engineer

with a minimum of 5 years of relevant experience. The ideal candidate will be responsible for designing, developing, and maintaining AI/ML pipelines and ensuring seamless deployment on AWS Cloud. You will work closely with data scientists, software engineers, and other stakeholders to operationalize machine learning models and manage scalable cloud-based solutions.

Key Responsibilities:

Design, implement, and optimize AI/ML pipelines for data ingestion, preprocessing, training, and inference.Develop and deploy machine learning models using AWS services such as

SageMaker ,

S3 ,

Glue ,

Step Functions , and

Redshift .Collaborate with data science teams to integrate frameworks like

PyTorch ,

TensorFlow , or

Hugging Face Transformers

into production workflows.Implement and manage

CI/CD pipelines

to automate the build, test, and deployment processes for AI/ML applications.Develop containerized solutions using

Docker

and manage orchestration through

Kubernetes .Define and maintain infrastructure using

Infrastructure as Code (IaC)

tools such as

Terraform

or

AWS CloudFormation .Monitor, troubleshoot, and optimize deployed models and workflows for performance, scalability, and cost efficiency.Ensure best practices in security, compliance, and data governance in all cloud-based operations.Stay up-to-date with the latest trends and advancements in AI/ML and cloud technologies.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Minimum of 5 years of hands-on experience in AI/ML and MLOps engineering.Programming Expertise:

Proficiency in

Python

(preferred) or another programming language.Frameworks:

Experience with at least one of

PyTorch ,

TensorFlow , or

Hugging Face Transformers .AWS Cloud Expertise:

Deep understanding of

SageMaker ,

S3 ,

Glue ,

Step Functions , and

Redshift .Containerization & Orchestration:

Strong familiarity with

Docker

and

Kubernetes .IaC Tools:

Expertise in

Terraform

or

AWS CloudFormation .Proven experience in creating and managing

CI/CD pipelines .Strong problem-solving and analytical skills with the ability to work in a collaborative team environment.

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