simulation, linear/non-linear optimisation, prediction, machine learning). - Create and maintain documentation
features. - Implement and optimize machine learning models using modern ML
environment, building and deploying machine learning models to drive step-change
deploy, and scale production-grade machine learning systems from the ground
pricing models - Experience with machine learning, deep learning, or reinforcement
a strong background in machine learning and time series modeling
experience in areas of machine learning, recommendation, and natural language
to design and develop Machine Learning (ML) models in different
advanced analytics techniques, including machine learning, predictive modeling or AI
advanced analytics techniques, including machine learning, predictive modeling or AI
power of data and machine learning to revolutionize industries and
design - Background in AI, machine learning, or data-driven applications Preferred
power of data and machine learning to revolutionize industries and
understanding of AI and machine learning concepts, along with experience
a focus on AI, Machine Learning, and Data Science roles
such as Computer Science, Machine Learning, Data Science, Statistics, Applied
equivalent. • Knowledge of machine learning techniques and algorithms is
Solution architects (SAs) focus on helping customers deliver AI solutions. Our Solution Architects are passionate technologists with technical breadth and depth and strong interpersonal skills. · Participate in the overall architecture design of AI-related solutions. · Explore the implementation issues of AI application. · Improve and plan solutions for different needs. Requirements · Strong interest and experience in machine learning. · Interest and ability to understand and deliver cloud-based solutions to customers. · Experience in innovating in one of the sub-application areas of machine learning (e.g. NLP, CV, Speech). Experience building systems for AI/ML projects related to computer vision and natural language processing. · Written and verbal communication skills to effectively explain technical challenges and solutions. · Fluent English skills.
Kubernetes. - Proficiency with deep learning & machine learning concepts. Qualifications: - 1-3
in wearables, IoT devices, machine learning, and artificial intelligence to
knowledge - NLP and Classical Machine Learning Knowledge Preferred Qualifications: - Proficiency
develop and implement advanced machine learning models with some of
deploying, managing, and optimizing machine learning models in preproduction and
in wearables, loT devices, machine learning, and artificial intelligence to
utilize your expertise in machine learning, statistical analysis, and data