Machine Learning/Data Science Professional - BFSI

Skills & Capabilities Summary:

- Machine Learning: Strong background in at least one specific machine learning area.

- Coding: Excellent skills in at least one procedural language (for instance, but not limited to Python, R or similar). Comfortable with command-line tools.

- Real-life experience with the tools of the Hadoop ecosystem are a plus.

- Experience with large-scale model deployment is a plus.

- Deep learning experience using one of the most popular frameworks is a plus.

Skills/Capability : Must have :

- Strong programming skills with at least one object oriented language (e.g. Java) and one scripting language (e.g. R, Python). Conversant with advanced machine learning techniques such as Boltzmann machine as well as neural networks design and implementation through tools like tensorflow or equivalent.

- Should have at-least 2 end-to-end ML projects experience. Starting from organizing and munging data, prototyping algorithms in scripting languages to deploying a solution in a stable platform like Java.

- Database management systems and experience with handling data using SQL and ETL tools.

- Experience in working with packages such as - Generalized linear models (Lasso, Ridge, Logit), Recommendation engines (SVD, ALS, Boltzmann machine in platforms such as Mahout),Neural Networks (nnets, tensorflow),Optimization (heuristic models), Visualization techniques (t-sne, ggplot, matplotlib, shiny, D3js).

- Exposure to massive data storage architectures - Map-Reduce/ Columnar Databases/ NoSQL/ RDD-Spark