Job Details
Data Science Manager - Cognitive AIUNFYD- is a leading digital transformation platform, deployed across vertical / horizontal operations for global majors, across Marketing, Sales & CX automation As part of enhancing our product portfolio, we are looking for Data Science Product Manager, to drive various inhouse & client focussed product developmentROLE :- Work closely with CxO level stakeholders to identify various cognitive solutions within our platform, drive development agenda accordingly, in conjunction with the core platform teams- The role is to deep dive into the product capabilities, to understand the unique business problems & identify target products to be developed as part of the cognitive offering to the marketplace- Architect, design, develop & deploy enterprise products which include components across the AI spectrum such as Machine Learning, Deep Learning, Chatbots, Virtual Assistants, and Cognitive Services (e.
g, Vision/Image, Textual/Language Processing) to help enhance product portfolio- The role is not evangelist, you will be involved in end-2-end product lifecycle, from concept to delivery, and be able to see the value your hard work adds !!!- Successful candidate should be a - team player- able to collaborate and partner with broad range of individuals from IT engineers, domain specialists, end-client representatives, while at the same time leading them to prioritize and deliver products in agile mannerFor the prioritized opportunities, this role:- Documents the business case- Documents the new product features and requirements to meet the 'Operations or Business' needs- Leads the new product development process and engineering team to deliver and implement the prioritized 'smart' tools- Monitors and reports on the metrics and business value being delivered of the deployed 'smart' tools against the business case- The successful candidate has the ability to collaborate and partner with a broad range of individuals from IT engineers to medical professionals, while at the same time leading them to prioritize and support the implementation of solutions- The successful candidate will have demonstrated success in product management and building new products leveraging AI/ML technologies via an agile methodology.
- Experience using Aha is preferred as this role is expected to enter Features and Requirements in Aha and manage the Roadmap using the Aha systemSKILL REQUIREMENTS :- Successful previous experience leveraging AI/ML/Automation, cognitive & science-based techniques to manage data, predict scenarios & prescribe actions in a similar role- Experience in analytics full life cycle engagement across strategy, design and implementation- Solid experience of a range of statistical modelling & machine learning techniques ie classification, regression, forecasting, anomaly detection, dimensionality reduction etc- Ability to demonstrate experience in Natural Language Processing (NLP) & modern text analytics methodologies (ie.
Word/sentence embeddings, Topic Modelling, Named Entity Recognition, Relation Extraction, Entity Linking etc)- Experience designing & implementing Commercial & Open Source Frameworks to process end to end data management lifecycle for NLP, Machine Log Algorithms, Text Minding Algorithms, Batch & Streaming IoT Data- Advanced programming skills in Python, R and related NLP/ML libraries (NLYK, scikit-learni, numpy, scipy, spaCy etc)- Working experience of deep learning frameworks & architectures such as TensorFlow, Keras, PyTorch, Caffe, RNN, CNN, LSTM etc- Practical experience in preparing data for Machine Learning (eg, using SQL and/or NoSQL technologies)- Understanding of cloud solutions (AWS, Azure, Databricks)Ideal Background:- Experience in product management- Experience in leveraging AI/ML technologies in the design and delivery of new product solutions