Short Description
Gartner is looking for a Director- Artificial Intelligence who can generate appropriate communication, documentation, process and architecture footprint.Job Description
- Develop BOT orchestration across the enterprise, with a key focus on framework, design
- Derive Speech/audio transcription, data enrichment, linguistic identification
- Uncover insights, patterns, sentiment, key phrases from the content Structured, unstructured, documents and media
- Derive content recommendations, risk assessments, predictions, behavioral modeling based on analysis of large data sets using machine learning algorithms
- Use regression models to determine factors that impact retention leading to client engagement
- Build NLP (Natural Language Processing) for the enterprise to interface with both voice and text
- Work on building an efficient workflow for experimenting, developing, and testing AI algorithms and architecture including data collection and annotation
- Generate appropriate communication, documentation, process and architecture footprint
- 15+ years of Industry experience with Bachelor's and/or Masters degree in Artificial Intelligence, Machine Learning, Data Science, Data Mining, Stat or a related field
- 6+ years of experience in the implementation of Advanced Analytics /Analytics solutions focused on customer-facing applications
- 5 + years of experience in building and designing AI and ML solutions focused on automation, prediction, Risk assessment, Bot development, Speech/text analysis, RPA
- 3+ years of experience working with Azure Cognitive Services, Bot Frameworks, IBM Watson, Google Cloud Platform/Tensor Flow, or Amazon Web Services / Sagemaker, and open source
- 4+ years of experience in Natural Language Processing (NLP), Linguistics, Semantic Design
- Experience designing and implementing open source AI frameworks Pytorch, TensorFlow, Scikitlearn, Apache Open Source (Kafka, Storm, Spark) for NLP and ML Algorithms
- Hands-on experience with deep learning and supervised and unsupervised ML methods, ensemble learning techniques (e.g. boosting, Random Forests)
- Deep knowledge of scripting and analytics software, including R, Python or equivalent
- Fluent in big data management tools, such as Hadoop, NoSQL data stores as well more traditional relational database
- Ability to understand and communicate technical issues to a broad audience base must be able to articulate AI processes in a clear and translatable fashion to all audience levels
- Digital product management experience is a plus
- Enthusiastic about learning new techniques, strong analytical and problem-solving skill
- Good judgment, prompt decisionmaking ability, responsibility, and accountability
- Commitment to teamwork as both a contributor and a leader
- Excellent communication, analytical, organizational and problem-solving skills
- In addition to an outstanding work environment with rapid advancement potential, Gartner associates enjoy exceptional compensation and benefits, including:
- An upbeat, positive culture. Integrity, objectivity, collaboration, results and a no limits mindset are central to our values
- Limitless growth. We work with you to help you meet your goals and advance within the company
- Encouragement to be innovative and challenge the status quo
- Exposure to industry-leading training and development
- Performance-based recognition and rewards.
Architect, design, develop