Prompt Engineering & Evaluation: Design and execute sophisticated test cases using prompt injection and adversarial testing to evaluate the AI’s boundaries and responses.
LLM Benchmarking: Utilize advanced frameworks to measure performance in critical areas like hallucination rates, sentiment consistency, and context retention.
Automated Validation: Build and maintain automated pipelines that leverage "LLM-as-a-judge" patterns to evaluate model outputs at scale.
...
Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded
...
Designing, developing, and deploying machine learning models and AI solutions to solve business challenges in operations, maintenance, forecasting, and process optimization.
Architecting end-to-end ML workflows, including data preparation, feature engineering, model development, validation, and production deployment.
Conducting exploratory data analysis, feasibility assessments, and proof-of-concept (POC) initiatives to evaluate business value and technical viability.
...
Lead and conduct in-depth technical due diligence on potential M&A targets, strategic partners, or new venture opportunities, assessing their R&D capabilities, technology stack, intellectual property (IP) portfolio, and product/process maturity.
Evaluate the technical feasibility, scalability, and integration challenges of external technologies or solutions. Identify technical risks and potential synergies between the company's existing R&D efforts and external opportunities.
Proactively monitor emerging technologies, scientific breakthroughs, and industry trends relevant to the company's strategic interests and R&D roadmap. Identify potential technology partners, startups, or research institutions for collaboration, investment, or acquisition.
...
Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; Master's degree in Machine Learning, Data Science, Artificial Intelligence, or a related field is an advantage.
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.
Unlock your potential with Dassault Systèmes, a global leader in Scientific Software Engineering, as we are hiring a AI Engineer in Kuala Lumpur, Malaysia!