Build scalable data platforms and machine learning workflows as a Senior Software Developer with hands-on data engineering and MLOps experience.This senior developer creates end-to-end solutions across data pipelines, ML lifecycle practices, infrastructure, and automation. The work includes cloud or on-premise environments, production deployment, data quality, observability, and maintainable architecture. Client collaboration and mentoring are central expectations.Key Responsibilities: Design and deliver data and machine learning solutionsPlan data pipelines, ML workflows, and supporting infrastructureImprove architecture, testing, deployment, and data qualityDefine performance, reliability, security, and scalability requirementsAdvise clients on architecture and ML solution designRequirements: 5+ years of software development experienceHands-on data engineering, MLOps, or production ML experienceExperience supporting data platforms or ML deployment workflowsClient or stakeholder collaboration experienceBachelor’s degree, college degree, certification, or equivalent experienceBring data pipeline design, ML lifecycle knowledge, and architectural judgment to client-focused software delivery.