Artificial Intelligence Role - KPO

- The candidate should possess extensive knowledge of and experience in applying statistics, data mining, machine learning and deep learning techniques in a professional context

- Candidate should be expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must.

- Should have extensive experience with relational, NO-SQL and Graph databases.

- High level of proficiency in statistical tools and programming environments like Python, R, SAS, Big Data platforms like Hadoop, Spark is a must.

- Must possess good programming languages skill in Python/Java/C/C++

- Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is preferred.

- Exposure to Graph Databases like GraphX, Neo4j, and semantic web applications will be preferred.

- Candidate will be expected to communicate analytical results and developed solutions in a way that is meaningful for business stakeholders and provides actionable insights.

- Have the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems.

- 3+ years of relevant experience with organizations known for cutting-edge/ best-in-class applications of Advanced Analytics, Predictive Modeling, and Artificial Intelligence.

- Master's Degree / Ph.D. in a quantitative field (e.g., Computer Science, Economics, Engineering, Statistics, Mathematics, Finance, Operations Research)