Artificial Intelligence/ Machine Learning
We have an urgent opening for the position of “Artificial Intelligence/ Machine Learning” for a Leading Company for Remote Work/Work From Home..
Job Title – Artificial Intelligence/Machine Learning
Salary – Best in the Industry
Experience- 5 to 10 Years
Also, please find the JD below:
Duties & Responsibilities:
Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML
Develop new ideas and apply AI/ML to specific product challenges across Accenture Operations team
Study and innovate in artificial intelligence/machine learning and its application in diverse domains
Design competitive AI/ML services and user experience for next generation devices and create prototypes for demonstration
Collect, synthesize, and propose requirements and create effective product/feature roadmaps
Work with the rest of the team to integrate these algorithms into larger solutions
Work with development teams to mature these algorithms into production quality programs
Skills & Abilities – (Technical & General):
Must have 4+ years of expert-level understanding of Artificial Intelligence technologies including some or all of knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, computer vision, unsupervised machine learning, and/or reinforcement learning
Solid knowledge in deep learning algorithms and AI system design and architecture.
Development of end to end AI based product.
Innovation minded, highly capable to think systematically, capable to redefine the solutions to overcome the competitors and solving problems.
Curious and willing to challenge existing solutions with innovative technology concepts.
Relevant experience for the area of Knowledge Representation and Reasoning (KRR): KRR here includes related semantic technologies, knowledge modeling/authoring and management, particularly includes familiarity with some or all of the following: Prolog, logic programming, and Rulelog methods; other business rules methods such as production rules, Drools/JBoss, event-condition-action rules; methods for ontologies, terminologies, graph databases, knowledge graphs (e.g., RDF, SPARQL, OWL), and related information integration; propositional logic, first-order logic, and constraint satisfaction methods; methods for uncertainty in combination with logical methods (e.g., Bayesian, probabilistic soft logic); combination of the foregoing with natural language, e.g., in knowledge authoring/debugging and explanation; and combination of the foregoing with machine learning, e.g. in knowledge acquisition.
Deep understanding of computer architecture is a plus; knowledge of Computer Vision will be an added advantage.
Record of academic publishing in related conferences and/or journals is a plus.
Proven and demonstrated implementation skills (putting theory into practice).