Proven hands-on experience with one or more programming languages (Java & SpringBoot preferred), scripting language and CICD/DevOps tooling (GitLab, Terraform, EKS) using modern technologies.
Ability to take ownership, collaborate closely with cross-functional teams and communicate clearly in an agile environment.
Solid understanding of cloud security, resilience, and operational best practices.
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Review design packages (electrical, mechanical, controls) and ensure production teams fully understand the build requirements.
Conduct build readiness reviews with production, quality, HSE, and supply chain teams to ensure all materials, drawings, jigs, and procedures are released before production start.
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Provide effort estimation, development planning, testing (sandbox/UAT), deployment, and post‑deployment support.
Troubleshoot production issues quickly with strong debugging/log analysis skills; drive root‑cause resolution and preventive fixes.
Work closely with internal stakeholders (Finance/Operations/IT) to validate requirements, conduct UAT, and ensure delivered changes address business needs.
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Stay updated with the latest advancements in LLMs, Generative AI, and machine learning technologies
Demonstrated passion for Generative AI and its application to real-world business problems; AI related hobby projects with strong developer background also counts
Experience with Python programming and scripting
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Stay updated with the latest advancements in LLMs, Generative AI, and machine learning technologies
Demonstrated passion for Generative AI and its application to real-world business problems; AI related hobby projects with strong developer background also counts
Experience with Python programming and scripting
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Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
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Provide effort estimation, development planning, testing (sandbox/UAT), deployment, and post‑deployment support.
Troubleshoot production issues quickly with strong debugging/log analysis skills; drive root‑cause resolution and preventive fixes.
Work closely with internal stakeholders (Finance/Operations/IT) to validate requirements, conduct UAT, and ensure delivered changes address business needs.
...
Proven hands-on experience with one or more programming languages (Java & SpringBoot preferred), scripting language and CICD/DevOps tooling (GitLab, Terraform, EKS) using modern technologies.
Ability to take ownership, collaborate closely with cross-functional teams and communicate clearly in an agile environment.
Solid understanding of cloud security, resilience, and operational best practices.
...