One Arrow Consulting Inc. is a leading Cybersecurity Advisory firm located in Toronto, Canada. With over 30 years of combined experience, we specialize in providing expert services in ransomware negotiations, ransomware settlement, and Threat Actor Intelligence.
2 - 10 employees
Founded 2016
February 17
One Arrow Consulting Inc. is a leading Cybersecurity Advisory firm located in Toronto, Canada. With over 30 years of combined experience, we specialize in providing expert services in ransomware negotiations, ransomware settlement, and Threat Actor Intelligence.
2 - 10 employees
Founded 2016
• This is a remote position. • This role is open for Vietnamese. • The candidate can work remote first, then required to relocate to Australia in the future. • Our client is fast growing startup, revolutionizing the retail industry with automation and AI-driven solutions in merchandising and assortment optimization. • Their innovative approach addresses complex problems in space and range management, helping retailers enhance efficiency, agility, and profitability. • Develop and refine heuristic algorithms to solve complex retail and optimization problems. • Transform research ideas into production-ready, scalable code for our AI platform. • Manage large datasets, ensuring solutions are scalable and performant. • Design and implement high-performance data structures for real-time decisions. • Collaborate with teams to ensure seamless algorithm integration and alignment with business needs. • Experiment with LLM-based methods to enhance automation and decision-making processes. • Apply operations research, combinatorial optimization, and machine learning techniques to improve algorithm efficiency.
• Proven experience in heuristic algorithm development (e.g., genetic algorithms, simulated annealing, greedy algorithms). • Strong proficiency in Python and SQL with production-grade coding experience. • Experience deploying algorithms in cloud or on-prem environments. • Knowledge of data structures, graph algorithms, and optimization techniques. • Familiarity with distributed computing frameworks (e.g., Ray, Dask, Spark) is a plus. • Experience with CI/CD, testing, containerization (Docker, Kubernetes), and cloud platforms (AWS/GCP/Azure). • Enthusiasm for LLM-based AI and a strong willingness to experiment with new AI techniques. • GitHub portfolio showcasing personal or side projects related to algorithm development.
• Work on impactful AI applications transforming global retail. • Gain expertise in LLM-based AI automation—a rare and valuable skill. • Collaborate with an innovative, skilled team in a fast-paced environment. • Help shape the future of AI-powered retail optimization.
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