We're committed to bringing passion and customer focus to the business.
To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes.
Required Skills
- Minimum 6 years of professional experience is required
- Degree in applied math, statistics, machine learning or computer science. PhD / MS is preferred
- Deep understanding of statistics and experience with machine learning algorithms/techniques
- Proven programming skills in particular R / SQL and Python, strong experience with DL frameworks such as TensorFlow, Theano and others
- Scientific expertise and real-world experience in deep learning (convolutional neural networks, restricted Boltzmann machines, and deep neural networks)
- Passion for solving challenging analytical problems
- Ability to quickly, qualitatively and quantitatively assess a problem
- Ability to work productively with team members, identify and resolve tough issues in a collaborative manner
- Experience in applying machine learning techniques to real-world problems in a production environment
Roles & Responsibility
- Design, develop and deliver AI/machine learning enabled solutions for industry-specific data analytics platforms
- Build scalable, available and supportable processes to collect, manipulate, present, and analyze large datasets in a production environment
- Articulate problem definition and work on all aspects of data including acquisition, exploration/visualization, feature engineering, experimentation with machine learning algorithms and deploying models
- Develop working prototypes of algorithms, evaluate and compare metrics based on real-world data sets
- Provide design input, specifications, requirements and guidance to software engineers for algorithm implementation for solution/product development
