Ai data and mlops engineer

6 days ago

Chennai, 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 Sage Maker , S3 , Glue , Step Functions , and Redshift . Collaborate with data science teams to integrate frameworks like Py Torch , Tensor Flow , 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 (Ia C) tools such as Terraform or AWS Cloud Formation . 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 Py Torch , Tensor Flow , or Hugging Face Transformers . AWS Cloud Expertise: Deep understanding of Sage Maker , S3 , Glue , Step Functions , and Redshift . Containerization & Orchestration: Strong familiarity with Docker and Kubernetes . Ia C Tools: Expertise in Terraform or AWS Cloud Formation . 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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