Demonstrating development effort in design and code review sessions to the team
Support key decisions taken with appropriate research and data
Collaborating with Sales, Marketing and senior management to better understand customer needs
Grooming and Mentoring team members for their professional development
Develop test plans and perform testing on own work
Produce needed minimum documentation for installations, operating procedures, user guides etc.
Review literature and current practices relevant to the solution of assigned projects.
Demonstrate knowledge of engineering methodologies and their application in the area of specified engineering specialty
Exercise independent judgment and discretion in approach or technology selection
Highlight project and schedule risks in advance and suggest mitigation plan
Job Requirements :
Minimum 2 years of core development experience
Proficiency in Joomla is required
Experience with MySQL is required
Experience with HTML5, CSS, PHP, Java, JQuery and related web languages
Knowledge of Graphic Design and Adobe Creative Cloud is preferable
Experience with Linux and Apache Web Servers.
Experience with various web development tools and IDE environments.
Basic understanding of web service technologies including XML, SOA, and REST.
Strong understanding of Windows/Linux/UNIX operating systems.
Hands on experience with Cisco suite of products preferred
Bachelor’s degree in Computer Science Engineering
Apply deep advanced analytical skills to explore complex datasets for knowledge discovery and predictive modeling activities.
Ability to work independently to innovate, and develop prototypes to demonstrate the feasibility of research ideas.
Inspire and influence others for continous improvement in every aspect
Be hands on in development and execution of predictive analytics and machine learning.
Job Requirements :
Minimum two years of experience with Machine Learning technologies
Expert in building custom ML algorithms leveraging statistical concepts and ML tools
Apply machine learning, data mining, predictive modelling & statistical techniques to create new scalable models
Understanding & working knowledge in Natural Language Processing & Conceptual modelling
Proficiency in statistical analysis tools (R, Python and SAS)
Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations and Multi-scale Feature Identification).
Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Good knowledge of NoSQL DB (Mongo/Casandra)
Awareness/Experience with big data tools (Hadoop, HDFS & Spark).
Experience on AWS/Google machine learning services is a plus
Experience with any of these is a plus: scikit-learn, Pandas, R, ggplot, D3, and Spark (open source preferred)