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Company Description
Trans Skills is a trusted advisor to many of the Middle East’s most respected organizations and a leading Human Resources Services Firm with an International Network active in 55 countries. Our clients range from the largest corporations to emerging growth companies and government bodies. We work at the highest levels of leadership to create tangible and enduring business impact.
Our core services include:
- Multi-country Payroll Outsource covering META
- Multi-country Single SaaS Platform
- Executive Search and Specialized Recruitment Services
- Manpower Outsourcing (EOR/PEO)
- HR Digital Transformation
- Psychometric Assessment, Gamified Learning, Coaching and Performance Management
Job Description
Hiring for a government client in Dubai.
ML & AI Ops Specialist shall bring in the requisite experience and expertise for deploying data & AI solutions as per the principles of ML & AI Ops and apply the same to the solutions developed by the AI/DS Section.
Minimum 5 years experience required, with a Bachelor’s in Computer Science or Information Technology.
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
- Strong software engineering skills in complex, multi-language systems
- Fluency in Python
- Comfort with Linux administration
- Experience working with cloud computing and database systems
- Experience building custom integrations between cloud-based systems using APIs
- Experience developing and maintaining ML systems built with open source tools
- Experience developing with containers and Kubernetes in cloud computing environments
- Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
- Ability to translate business needs to technical requirements
- Strong understanding of software testing, benchmarking, and continuous integration
- Exposure to machine learning methodology and best practices
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
