At Cavista, our mission is to empower organizations with the world’s best technology solutions. We ensure the highest level of client satisfaction through a global network of innovation, and our software solutions are custom-built to accommodate your domain and requirements. Through world-class consultation, innovative IT solutions and personalized client services, Cavista increases operational efficiency for organizations of all sizes.
Job Description
- Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in
- collaboration with a diverse solutions delivery team
- Support our Solutions Delivery team in conducting assessments of the AI (Artificial Intelligence) and automation market and competitor landscape
- Collaborate with stakeholders and project teams supporting process, research and development to meet the needs of our AI strategy
- Possess a deep understanding of our business and collaborate with teams on how integrating AI capabilities can help lead to solutions
- Contribute to cross-functional teams in identifying and prioritizing key areas of our industry where AI solutions can drive significant business benefit
- Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
- Knowledgeable of a broad range of technology, strategy, and policy and issues associated with AI in healthcare
Qualifications
- Bachelor's or master's degree in computer science or related field
- Experience with cloud environments
- Experience applying AI to practical and comprehensive technology solutions
- Experience with ML, deep learning, R, TensorFlow, Python, NLP,
- Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
- Experience with innovation accelerators is a plus
- Desire and ability to work effectively in an entrepreneurial and dynamic environment
Method of Application
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