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 solutions
Plan data pipelines, ML workflows, and supporting infrastructure
Improve architecture, testing, deployment, and data quality
Define performance, reliability, security, and scalability requirements
Advise clients on architecture and ML solution design
Requirements
5+ years of software development experience
Hands-on data engineering, MLOps, or production ML experience
Experience supporting data platforms or ML deployment workflows
Client or stakeholder collaboration experience
Bachelor’s degree, college degree, certification, or equivalent experience
Bring data pipeline design, ML lifecycle knowledge, and architectural judgment to client-focused software delivery.