Source Code Technologies LLC

Oversee supply chain projects, manage cross-functional teams, ensure compliance with industry regulations, and implement operational excellence initiatives. | Requires experience in project planning, financial management, governance, and familiarity with manufacturing, ERP systems, and regulated industries, which are not demonstrated in your background. | Project Manager (Supply Chain) Introduction: This position is for a Project Manager with a focus on Supply Management. The individual will be responsible for overseeing projects within manufacturing engineering, medical devices, pharmaceuticals, or high-tech industries. They will need to have strong leadership skills and experience in managing cross-functional teams. Responsibilities: • Manage projects in Maximo • Oversee technical projects and cross-functional teams • Implement regulated change control and product development processes • Utilize knowledge of manufacturing processes and global supply chain operations • Work on ERP systems such as SAP and Oracle • Collaborate on operational excellence initiatives • Ensure compliance with FDA, ISO13485, and EU MDR regulations • Communicate effectively with stakeholders at all levels • Utilize MS PowerPoint, Excel, and project management tools Requirements: Required Skills: • Project Planning • Project Financial Management • Project Governance Preferred Skills: • Management • Change Control • Medical Devices • Communication • Manufacturing • Manufacturing Engineering • Design Controls • Enterprise Resource Planning • Pharmaceutics • ISO 13485 • Microsoft PowerPoint • Operational Excellence • Product Development • Program Management • Stakeholder Management • Supply Chain Management

Analyze requirements, develop test plans, execute testing, and document results for PLM software implementations. | Requires 10+ years in QA/testing, extensive PLM experience, and familiarity with SDLC, testing tools, and possibly Agile methodologies. | Job Title: PLM Business Analyst / Functional Tester Location: Austin, TX (Remote) Employment Type: Contract / Full-Time (adjust as needed) Job Description We are seeking a detail-oriented PLM Business Analyst / Functional Tester with extensive experience in PLM implementations. The ideal candidate will be responsible for validating software functionality, ensuring alignment with business and technical requirements, and supporting high-quality PLM solutions. Key Responsibilities • Analyze business and functional requirements to develop detailed test cases and test scripts • Design, develop, and execute functional, regression, and system integration test plans • Identify, document, track, and manage software defects through resolution • Collaborate closely with development and business teams to ensure timely defect resolution • Perform System Integration Testing (SIT) and User Acceptance Testing (UAT) • Document test results and prepare detailed test summary reports • Ensure compliance with QA standards, processes, and best practices • Continuously improve testing processes, methodologies, and documentation Required Qualifications • Bachelor’s degree in Computer Science, Information Technology, or a related field • 10+ years of experience as a Functional Tester or QA Analyst • Extensive experience working on PLM projects • Strong understanding of the Software Development Life Cycle (SDLC) and testing methodologies • Hands-on experience with test management and defect tracking tools (e.g., JIRA, TestRail) • Proven ability to write clear, concise, and effective test cases and test scripts • Excellent analytical, problem-solving, and communication skills • Ability to collaborate effectively with cross-functional teams Preferred Qualifications • ISTQB or other relevant software testing certification • Experience with Teamcenter PLM • Experience with automated testing tools such as Selenium or QTP • Familiarity with Agile/Scrum development methodologies

Design, implement, and deploy scalable cloud-native ML pipelines and production AI solutions using Azure, Docker, and AKS with strong MLOps practices. | 8+ years experience as a Data Scientist with 3+ years in ML engineering on cloud, proficiency in Azure ML, Docker, AKS, Python, SQL, Linux, and strong MLOps knowledge. | AI/ML Engineer Location Mundelein IL Duration 3 months (Only Independent contractors) This is a Hybrid role (3 days onsite at Mundelein IL) As an AI Engineer on the Data Science team, you will play a key role in productionizing machine learning models, building robust pipelines, and enhancing the overall AI platform. This role requires hands-on experience with Azure, Docker,and Azure Kubernetes Service (AKS), as well as strong knowledge of cloud-native MLOps best practices. Responsibilities • Design and implement scalable, cloud-native ML pipelines for production AI solutions. • Collaborate with data scientists to operationalize ML models from prototypes to production. • Manage deployment of ML models using Azure Machine Learning and AKS. • Develop, containerize, and orchestrate services using Docker and Kubernetes. • Optimize cloud data and compute architectures to ensure cost-effective and reliable deployments. • Implement robust monitoring, logging, and CI/CD practices to support AI operations (MLOps). • Work closely with enterprise cloud architects to align AI solutions with client s infrastructure standards. • Contribute to the evolution of the best practices around AI/ML systems in production environments. Qualifications • Minimum 8 years of experience as a Data Scientist, with at least 3 years focused on machine learning engineering in cloud environments. • Proven experience deploying ML models in Azure, preferably with Azure Machine Learning, Docker, and AKS. • Hands-on experience building cloud-native pipelines for model training, scoring, and monitoring. • Familiarity with GenAI concepts and tools (experience operationalizing GenAI is a plus). • Proficiency in Python, SQL, and Linux-based development environments. • Strong understanding of MLOps principles, CI/CD pipelines, and production-grade APIs. • Effective communicator with strong problem-solving skills and ability to work across teams. Education • Bachelor s degree in Computer Science, Electronic Engineering, Data Science, or a related field.