Senior AI Engineer

6 hours ago

Singapore CERTIS TECH-OPS AND SERVICES PTE. LTD. Full time

About the job As a Senior AI/ML Engineer in the AI Development Group, you will lead the rapid prototyping, development, and integration of AI capabilities across Certis' current and next-generation technology platforms. This role is pivotal in advancing Certis' AI adoption journey, making AI a core driver of innovation and operational excellence. You will work closely with cross-functional teams to explore, experiment, and productize AI solutions, embedding advanced AI technologies into Certis' software and hardware ecosystems to enhance security, automation, and operational intelligence.What You'll Do Lead the rapid prototyping of AI solutions to enhance Certis' product offerings and operational capabilities. Own the technical development of AI projects, from ideation to productization, deployment and maintenance. Drive the integration of AI technologies into Certis' existing and future technology platforms, ensuring that AI enhances the efficiency, security, and scalability of Certis' solutions. Oversee the development of reusable and scalable AI modules / services to enhance organizational agility and reduce development time for future projects. Engage with stakeholders across departments to identify areas where AI can drive value and address business challenges. Ensure AI solutions are compliant with industry standards, regulatory frameworks, and data privacy policies. Champion AI best practices across the organization, promoting AI literacy and fostering a culture of AI-driven innovation. What We're Looking For 5 to 8+ years of experience in software development, with at least 2 years on AI, machine learning, or deep learning technologies. Proven track record of leading enterprise software projects from concept to deployment, particularly in an enterprise environment. Strong understanding of enterprise software development processes, including agile methodologies, DevOps practices, and continuous integration/delivery pipelines. Experience in collaborating with cross-functional teams to integrate AI solutions into large-scale software platforms. Deep knowledge of AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, or similar. Proficiency in programming languages commonly used in AI, such as Python, Java, or C++. Experience with cloud-based AI/ML platforms (AWS is preferred). Strong understanding of data engineering, data science, and machine learning model lifecycle management. Passion for AI, particularly in building AI-enabled products that address real-world challenges. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Ability to work collaboratively across different departments, promoting synergies and shared learning.

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