Enhancing and optimizing product design, architecting applications/solutions
Leading project delivery and providing techno-functional support to project teams for multiple projects.
Interacting with clients and/ or implementation teams
Handling multiple client accounts
Meeting time, cost and quality targets
Proactively managing changes in project scope, identifying potential crises and devising contingency plans.
Planning, scheduling and tracking project timelines and milestones using appropriate tools to monitor them.
Job Requirements :
Minimum 10 years over all development experience
Proficiency in Java/J2EE/Open Source Technologies like Python/PHP etc.
Proficiency in mobile technologies
Hands on experience in product development
Experience in project management, requirement management, planning, estimation, analysis, and team and client management
Knowledge of Agile project management methodologies and tools such as Jira/Greenhopper, Rally or equivalent
Understanding of DevOps, cloud computing etc. preferred
Understanding of latest trends and technologies including mobile based applications preferred
Good verbal and written communication skills
Should have a positive attitude
Bachelor’s degree in Computer Science Engineering
Master’s degree preferred
Scrum Master Certification preferred
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)