As an MLOps Engineer, you will collaborate with cross-functional teams to align ML solutions with business objectives, automate workflows, set up deployment tools, develop CI/CD pipelines, monitor and maintain models, manage security risks, troubleshoot issues, and ensure compliance with best practices.

This job invites speculative applications from individuals with diverse skill sets across various tech disciplines. Applicants should be experienced in areas such as cloud technologies, software development, user experience design, and data science. If there's a match, successful candidates will be contacted for potential opportunities.

As a Data & AI Consultant, you will act as a strategic advisor, working with clients to identify and implement Data & AI solutions that drive business value. Responsibilities include leading client engagements, collaborating on use cases, advising on data governance, and educating executives on relevant technologies.