Duties and Responsibilities
• Perform Data Analysis at scale to get insights.
• Perform feasibility and impact analysis, architecture design and development of tools using advanced technologies.
• Improve scalability, speed, and performance of existing models
• Build Machine learning models for Predictions, Image processing, Natural Language Processing and other related areas.
• Create various documentations required as part of implementation.
• Ability to meet the timelines set by the management on the change requests raised.
• Support migration plan and procedures.
• Prepare Unit test scripts and execute as required.
• Design and build web services to integrate Oracle PeopleSoft with third party systems in real time.
• Develop custom reports and analytics, dashboards for the various business requirements.

Expected outputs and deliverables:
• Perform data extraction, data visualization and extract trends and patterns for HR Applications.
• Develop analytical model to predict/forecast user behaviors to meet business requirements and drive business growth.
• Communicate the results to management via data visualizations, presentations.
• Develop Machine learning, Deep learning and AI algorithm to solve business case or problem.
• Deploy and integrate the model with other applications using python and other related technologies for application development and deployment.
• Help in peer review and document the test results in the in-house tools.
• Consolidate and Package release deliverables.
• Provide maintenance and support for the system and execute any change requests as required.

Skills and Experience
Academic qualifications:
• Bachelors degree or equivalent Certification in Computer science, Information Technology or related fields is required.
• Degree or certificate in the area of Machine Learning which includes Data Analysis, regression models, deep learning models, NLP and Image processing is required.

Experience:
• Minimum of 3 years of professional experience in Data Science/Machine Learning is required
• Experience should include all areas of Data Science/Machine Learning like Data Analysis, building models for prediction, NLP, Deep Learning and Image Processing
• Experience of programming languages Like R, Python, MySQL, NodeJS is required
• Knowledge of data base systems is required
• Experience in developing integration using web services is required
• Experience in deploying models and application is cloud infrastructure is required
• Demonstrated experience of defining system test conditions; design test cases and test scripts is required
• Functional knowledge of HR process is desired
• Problem solving, Analytical, programming, debugging, and design skills are desired
• Knowledge of modern machine learning algorithms
• Should be able to work in any area of machine learning like regression modelling, NLP, Image, Deep Learning.

Competencies
Professional and Innovation:
• High level interpersonal skills and good problem-solving skills
• Ability to meet tight deadlines; attention to details
• Excellent oral and written communication skills.
• Ability to work with minimal direct supervision.
• Demonstrated ability to meet timelines and deliverable.
• Ability to make new and useful ideas work
• Promotes knowledge sharing and learning
• Display cultural, gender, religion nationality and age sensitivity and adaptability
• Analytical skills
• Strong in Mathematics and Statistics

Technical/Functional:
• Ability to develop and deliver innovative new tools using advanced technologies.
• Functional Knowledge of Human Resource Management
• Ability to design and provide solution for business problems with resolution.
• Ability to meet the timelines set by the support center for development and change requests raised.
• Design and build webservices to integrate Oracle PeopleSoft with third party systems in real time.
• Develop custom reports and analytics, dashboards for the various business requirements.
• Design and development of webforms.
• Deliver design and development of the enhancements raised by the business.
• Implement customizations that come out from the fit-gap exercise.
• Support migration plan and procedures.

Language:
Fluency in written and spoken English is required;