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MABASA / LINKEDIN

Forward Deployed AI Engineer

Hays

Location
Singapore, Singapore
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

Your new company A top\-tier global consultancy Your new role • Design, build, deploy, and optimise AI/ML solutions for real\-world business challenges. • Partner directly with global clients across APAC and international markets. • Develop scalable data pipelines, cloud platforms, and MLOps workflows. • Drive AI thought leadership through research, publications, and industry presentations. • Collaborate with consultants, designers, and product teams on digital transformation projects. • Apply software engineering best practices to deliver robust, efficient, and maintainable solutions. What you'll need to succeed • Strong software engineering expertise in Python, Java, C\+\+, Scala, and full\-stack development. • Hands\-on experience with AI/ML frameworks, LLMs, and generative AI solutions. • Proficient in cloud platforms including AWS, Azure, and Google Cloud. • Skilled in data engineering, distributed systems, SQL, Spark, Hadoop, and streaming data. • Experience with DevOps tools, containerisation, Kubernetes, CI/CD, and infrastructure automation. • Thrives in agile, client\-facing environments, collaborating across global and cross\-functional teams. • 50% travel requirements What you'll get in return In return, you'll be part of an organization that values its employees. You’ll be rewarded with: • Structured career growth and plenty of developmental opportunities • Hybrid and stable working environment 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 yuki.cheung@hays.com.sg. 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 backgrounds to apply. EA Reg Number: R22110258 \| EA License Number: 07C3924 \| Company Registration No: 200609504D

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