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• 6 - 10 years’ experience in Oracle EBS (Techno-Functional)
• Experience in implementation, Support, and upgrade projects
• Experience at least in 2 R12.2 upgrade projects.
• Experience in Oracle EBS R12.2.7 or Higher versions of R12.
• Strong knowledge in SQL/PLSQL, Reports, Forms, and workflow. OAF is added advantage.
• At least 40% functional knowledge in SCM and Manufacturing (Modules: PO, OM, INV, WIP, BOM, Quality and Engineering)
• Excellent verbal and written communication skills

Roles and Responsibilities

1.    Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.    Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.    Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.    Oversee and facilitate MHFAI instructors for training and upskilling.

5.    Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.    Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.    Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.    Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.    Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11. Provide support in other operational functions of MHFA as needed.

Requirements:

·      10-15 years in clinical work and / or mental health training

·      Qualification: Education in Mental Health

·      Experience in Clinical Practice / Research

·      Exposure to mental health training and created content or training on Mental Health for Adult

·      Experience of having previously worked in organized group is desirable

• Bachelor's degree in computer science or equivalent experience
• 2+ years of experience in software engineering.
• Experience with building B2B and consumer quality products, enabling business capability and objectives through technology.
• Strong cloud infrastructure experience with AWS.
• Experience in engineering practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications and application security.
• Experience working with a development team using Agile methodology.
• Experience in container technologies like Docker/Kubernetes a plus.
• Hands-on skills working with SQL and No-SQL databases
  Broad experience across the following application development technologies and in depth skills with at least one: NodeJS, React, GraphQL,Python, R, Java/C++ and/or other open source application development frameworks.
• Ability to strategically balance test coverage, documentation and timelines (API/ Unit testing).
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
• Able to work under competing priorities, manage expectations effectively and support the team under pressure; distinct user focus and quality mindset.

The candidates should have:

·  Strong knowledge on Windows and Linux OS

·   Experience working in Version Control Systems like git

·  Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.

·  Basic understanding of SQL commands

·  Experience working on Azure Cloud DevOps

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred