leverage your expertise in machine learning, natural language processing, and
implement advanced AI and machine learning solutions that enhance banking
and/or R - Experience with machine learning frameworks(TensorFlow, PyTorch) and data
Skills in data analysis, machine learning, and AI-driven research are
e.g. AWS) cloud services, machine learning models, and industrial IoT
1M+ global contributors. - Support machine learning for world-leading brands with
1M+ global contributors. - Support machine learning for world-leading brands with
in wearables, IoT devices, machine learning, and artificial intelligence to
our product which uses Machine Learning & Big Data technologies to
in programming (focus on machine learning) in Python; knowledge in
reporting, visualization, analytics, and machine learning. - Design and manage data
Product Lead, Designers, and Machine Learning Engineers to design and
BI as needed. 5. Machine Learning and AI Enablement · Support
cutting-edge artificial intelligence and machine learning solutions. This role focuses
Understanding of AI technologies, machine learning, high-performance computing, and related
of Big Data technologies, machine learning, data modeling, ETL processes,
HDR10+), artificial intelligence and machine learning, software automation and our
apply your knowledge of machine learning and statistical techniques to
biometrics, fraud detection, or machine learning in identity systems. - Background
AI Service Manager - Provide AI solutions by managing service contracts for our offerings. - Implement automation driven by AI in IT services to enhance operational efficiency. - Integrate cutting-edge AI tools for the management of IT infrastructure. - Deliver IT support services leveraging AI technology to ensure high-quality service delivery. - Continuously monitor and optimize the performance and reliability of AI-powered services. - Uphold compliance, governance, and security measures within AI service operations. - Collaborate with multidisciplinary teams to ensure AI services are aligned with overarching business objectives. - Cultivate vendor relationships and assess emerging AI service technologies for potential implementation. Requirements - Bachelor’s degree in Computer Science, Software Engineering, or related field. - 5 years’ experience in AI service management, infrastructure management, support services, and automation. - Practical knowledge in: - Machine Learning (ML) - Natural Language Processing (NLP) - Deep Learning - Robotic Process Automation (RPA) - Computer Vision - Generative AI (Gen AI) - Agentic AI - OSINT & GEOINT
in AI technologies, including: - Machine Learning (ML) - Natural Language Processing
across domains such as Machine Learning, Deep Learning, NLP, and
fraud detection rules and machine learning models to detect suspicious
fraud detection rules and machine learning models to detect suspicious
understanding of AI technologies (Machine Learning, NLP, Computer Vision, Generative