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About the job
A public firm is looking for an experienced GenAI Specialist to join their team.
Your new company
As a GenAI Specialist, you will lead technical development of scalable enterprise applications, integrating generative AI for innovative, robust, and future-ready platform solutions.
Your new role
What you need
What you'll get in return
In return, you'll be part of an organization that values its employees. You'll be rewarded with:
What you need to do now
If you're interested in this role, click apply now or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email [Confidential Information]. Referrals are welcome.
At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.
EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D
Job ID: 151501437
Skills:
data engineering , Ml, Power Bi, Tableau, Data Extraction, MLops, Databricks, Microsoft Azure, agentic AI, LLMOps, data product delivery, Reconciliation, Transformation, Analytics, validation techniques, AI solution delivery, Microsoft Copilot, cloud data platforms, cloud-native architectures, applied AI
Skills:
Perl, Bash, Python, Linux operating systems, cluster management software, job schedulers, parallel file systems, high-performance computing hardware, HPC technologies
Skills:
data engineering , Power Bi, Ml, Databricks, Tableau, Microsoft Azure, cloud data platforms, Analytics, Microsoft Copilot, applied AI, agentic AI solutions, AI solution delivery
Skills:
Mqtt, Angularjs, Kafka, Amqp, Https, Javascript, Confluence, Postgres, Scrum, Flutter, Coap, Agile Methodologies, Node.js, Http, Kotlin, Jira, Mssql, Jms, Reactjs, React Native, Devops Tools, Swift, Kubernetes, WebSockets, AI-related technologies, GIS technologies, Kanban, BACnet, Modbus, OPC UA
Skills:
Spark SQL, Hadoop Ecosystem, Pyspark, Data Modeling, Sql, Gcp, Azure, Python, AWS, Data Lakes, ETL ELT frameworks, DevOps practices, Lakehouse architectures, CI CD, Performance tuning and optimisation, Data migration strategies, Distributed data processing frameworks, Data integration patterns, Real-time processing