Manager - Artificial Intelligence/Machine Learning - Auto

'Artificial Intelligence & Machine Learning:

a) Cognitive AI Applications & Chatbots

b) Full stack development & product Management (Web, Mobile): Hardcore Full Stack Data Scientist with end to end single-handed multi hat role to work on building an AI Conversation Voice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech to Text Conversion, Audio/Video analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN, deep learning to solve the specific complex problem in Auto sector as single-handed doer or in a small Data Science Team with full end to end ownership of delivery

c) Machine Learning - Classification and prediction for intuitive results at scale. Strong experience in Deep Learning Algorithms. Needs to have statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.

d) Technical architect & solution design expertise having a good understanding of design & architecture principles. Act as Cloud micro services architect.

Statistical Data Modelling, Big Data:

a) Recommend appropriate searching and indexing methods

b) Use big data tools and platforms to access data and run models

c) Big Data: Remove constraints on volume, variety and velocity of data

d) Data Modelling:Identifying factors and relationships to make predictions for competitive advantage

Data Management and Insighting:

a) Data sourcing, integration, scaling and optimization. Ensure provenance and hygiene of data for reliable, trusted data insightings.

b) Clean data through statistical approaches, such as identifying outliers and transform data into machine-readable formats

c) Optimize performance of database queries/schema (basics such as adding indices etc.), processing unstructured data (text, voice, image)

d) Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, build AI Data Modelling, validating the AI Model and deployment

Data Visualisation & Story Boards

a) Communication of insights that can guide actionable results through impactful insighting, story telling, data visualisation. Present storyboards using dashboards, illustrate entity relationships graphically. Need to be able to communicate their findings, orally and visually

Business Understanding and Project Management:

a) Use subject matter knowledge in the areas of business opertations (HR, Manufacturing, Supply Chain, Sales & Marketing etc.) in order to understanding business requirement effectively. Manages projects effectively ensuring objectives, deadlines and budgets are met by team members under own control.