Position Summary
Serves as Project Manager for key accounts and may assist junior Project Managers as needed. The purpose of this position is to facilitate jobs in the execution phase of our Client’s production needs. As a key facilitator within the supply chain for packaging artwork issues, you will communicate with design firms, printers, On-Site Personnel /Sales and Clients to ensure proper printability for packaging. As a key figure within the process, you will help maintain and improve SGS & Co’s relationship with the Client. Your primary concern will be to coordinate packaging production via job instructions and schedules to complete jobs. Within SGS & Co, you will effectively communicate specifications for each piece of packaging artwork on your brands by utilizing our order entry system as well as being a resource for production departments when issues or questions arise. The Project Manager is the primary resource to the On-Site Personnel and Sales, and the key point of contact to the Production Department at SGS & Co. PM must be able to adapt and create a plan when colleagues are absent.

Essential Responsibilities, Accountabilities & Results
• Consult with On-Site Personnel and/or Client during the artwork development and pre-press
execution
• Run and/or attend any pre-production meetings (or other meetings), when feasible, per On-Site Personnel’s/Sales request or request of the Client for high complexity projects
• Manages key accounts
• Respond in a timely manner to Clients
• Lead and manage relationships with our Client(s) and internal and external stakeholders
• Communicate artwork issues with the client as well as internal and external stakeholders
• Respond to requests of Client/On-Site Personnel /Sales and others
• Document all critical and pertinent information that may impact quality
• Participate in process improvement efforts and various production meetings to foster a positive creative impact on the business
• Verify technical supplied data is correct to supplied art
• Manage project timelines and simultaneously manages multiple projects, when required
• Communicate received and shipped art to On-Site Personnel/Sales and perform user functionality in a Client’s database used for tracking artwork projects
• Understand the Client’s process (deliverables, rework)
• Communicate issues to Management
• Order entry (ensure orders are complete and concise when delivered to production)
• Understands all aspects of production and manufacturing
• Create and update price matrices based on client needs
• May provide training and guidance to junior Project Managers

Educational & Experience Minimum Requirements
This position requires the following knowledge and skills:
• High School Diploma or GED equivalent. Some College/Associate’s Degree preferred
• 5+ years’ experience preferred
• Experience in the design, print or production art industry
• Full comprehension in reading work instructions and business memos
• Proofreading skills required
• Ability to work independently

Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The following physical requirements are commonly performed in this job. There are times, on occasion, when the employee may be asked or expected to perform duties with physical requirements that are different from those listed here. It is the employee’s duty to notify the management of any physical limitations or inability to perform a certain task.

• Regularly required to sit; use hands to finger, handle, or feel and talk or hear.
• Frequently required to stand; walk and reach with hands and arms.
• Occasionally lift and/or move up to 10 pounds.
• Vision, color vision and ability to adjust focus.

AI/ML Engineer - India
About the Role
As an AI/ML Engineer at MySGS & Co., you will play a key role in designing, developing, and maintaining machine learning (ML) systems and AI-driven automation solutions. You will collaborate closely with product managers, data scientists, data engineers, architects, and other cross-functional teams to build scalable and production-ready ML models. Your role will focus on both ML development and MLOps, ensuring seamless deployment, monitoring, and automation of ML models in real-world applications.
You will be responsible for optimizing end-to-end ML pipelines, automating workflows, managing model lifecycle operations (MLOps), and ensuring AI systems are scalable and cost-efficient. You will embrace a build-measure-learn approach, continuously iterating and improving models for performance and reliability.
Responsibilities
• Design, develop, and maintain ML models to solve business challenges and drive automation.
• Implement and optimize ML algorithms for efficiency, scalability, and AI-powered insights.
• Conduct experiments, A/B testing, and model evaluations to improve performance.
• Develop, containerize, and deploy AI/ML systems in production environments using best practices.
• Automate and streamline ML pipelines, ensuring smooth transitions from development to production.
• Monitor and troubleshoot the performance, accuracy, and drift of ML models in production.
• Execute and automate model validation tests, ensuring robustness and reliability.
• Optimize training and inference workflows, enhancing model efficiency and speed.
• Manage model versioning, deployment strategies, and rollback mechanisms.
• Implement and maintain CI/CD pipelines for ML models, ensuring smooth integration with engineering workflows.
• Review code changes, pull requests, and pipeline configurations to uphold quality standards.
• Stay updated with emerging AI/ML technologies, MLOps best practices, and cloud-based ML platforms.
Skills and Qualifications
• Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience deploying and maintaining ML models using Docker, Kubernetes, and cloud-based AI services (AWS Sagemaker, GCP Vertex AI, Azure ML).
• Solid understanding of MLOps principles, including CI/CD for ML models, model monitoring, and automated retraining.
• Knowledge of data engineering principles, data preprocessing, and feature engineering for ML pipelines.
• Familiarity with workflow orchestration tools.
• Experience with real-time model serving and API deployment.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Ability to collaborate cross-functionally and work in a fast-paced AI-driven environment.