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Data Governance Analyst Location: Remote Hybrid (Remote with occasional onsite visits to Columbus, OH) We are seeking a Data Governance Analyst to partner with business and data teams to implement and operationalize enterprise data governance. This hands-on role focuses on Microsoft Purview, data lineage, metadata management, and Microsoft Fabric integration to improve data trust, transparency, and compliance across the platform. Key Responsibilities: Collaborate with business stakeholders to define data definitions, ownership, glossaries, and governance policies Configure and manage Microsoft Purview for data cataloging, lineage, classification, and metadata management Develop and maintain end-to-end data lineage across ingestion, transformation, and reporting layers Support Microsoft Fabric governance by ensuring datasets are discoverable, trusted, and reusable Define and monitor data quality metrics and support compliance initiatives Maintain governance documentation and support continuous improvement and enablement Required Qualifications: 5+ years in Data Governance, Data Engineering, or Analytics Hands-on experience with Microsoft Purview Experience delivering data lineage, catalogs, glossaries, and data dictionaries Experience with Azure-based data platforms and Microsoft Fabric Strong SQL knowledge and understanding of ETL / ELT pipelines Strong stakeholder collaboration skills Willingness to travel occasionally to Columbus, OH IT / AI/ML Engineer Location: Edison, NJ (telecommuting available) We are looking for an IT professional with strong foundational skills in AI, deep learning, and machine learning, proficiency in Python and AI/ML tools, cloud platform experience, and a growth mindset. Strong foundation in AI, deep learning, and machine learning principles Expertise in Python and tools such as Hugging Face, Langchain, and OpenAI API Experience with TensorFlow, Keras, and PyTorch Familiarity with cloud platforms: Google Model Garden, Amazon Bedrock, Nvidia Nim Experience with multi-modal data and intelligent agent-based tools Self-motivated, collaborative, innovative mindset AWS ML/MLOps Consultant We are looking for an AWS ML/MLOps Consultant to support the development and maturation of a cloud-based MLOps capability designed to operationalize anomaly detection models for industrial equipment monitoring. The focus is on strengthening model performance, ensuring production reliability, and delivering scalable batch inference solutions within an AWS environment. Main Responsibilities: Design and implement reusable feature engineering pipelines, including mechanisms to monitor data and model drift Improve the robustness, performance, and stability of existing anomaly detection models operating in production Partner with subject matter experts to validate model results and ensure alignment with real-world operational needs Establish tooling for experiment management, model versioning, and artifact storage to support repeatable ML workflows Build and deploy batch inference pipelines leveraging managed AWS services Connect model outputs to reporting, visualization, and alerting platforms for operational visibility Qualifications: Demonstrated experience delivering and supporting machine learning systems in production environments Experience designing and deploying batch-based inference workloads at scale Strong hands-on expertise with AWS services commonly used for MLOps, including SageMaker, ECS, and Step Functions Background in building end-to-end ML pipelines, from data ingestion through deployment and monitoring Working knowledge of gradient boosting frameworks such as LightGBM and XGBoost Prior exposure to industrial, energy, or asset performance monitoring use cases is a plus Business Analyst As a Business Analyst, you will collaborate with stakeholders to define business needs and create actionable solutions for our clients. Strong communication and analytical skills are required. #J-18808-Ljbffr Flex Consulting Group Inc.