Job Location: Bangalore/Bengaluru
- We are looking for a hardworking, aspirational and innovative engineering leader for the Senior Visualization Engineer position in our AI engineering and innovation team.
- The Visualization Engineer will play a diverse and far-reaching role across organizations providing leadership and influencing adoption of technical solutions, strategies and design patters across multiple teams and partners within Kimberley-Clark.
- This team is mainly responsible for solving business problems and building visualizations to demonstrate the opportunities and value to the stakeholders.
- We are looking for a highly motivated and qualified Senior Visualization Engineer to help drive our AI Innovation initiatives.
- This role is ideal for candidates with strong hands-on skills in various visualization techniques and tools, data analysis, SQL and understanding business through data.
Responsibilities:
- Understand the business problem, analyse the data, and define the success criteria
- Work with engineering team and architecture teams for data identification and collection, harmonization, and cleansing for the data analysis and preparation
- Responsible for business interpretation of data, finding quality issues and data anomalies
- Build visualizations leveraging charts, graphs, plots and various techniques while working with Data Scientists to demonstrate the results of AI models
- Analyse additional data inputs and methods that would improve the results of the models and look for opportunities
- Design and build reports or dashboards in an agile way to demonstrate the results of the model to the stakeholders and leadership team
- Must be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment.
- Build visualizations based on target audience with the right level of detail and views that would highlight purpose-built-insights
- Demonstrate cause and effect relationships, model explainability through prototyped visualizations
- Explore and recommend new visualization and custom UI tools and processes that would integrate and build the ecosystem for AI Factory
- Ensure that our development and deployment are tightly integrated to each other to maximize the deployment user experience.
- Develop and disseminate innovative techniques, processes and tools, that can be leveraged across the AI product development lifecycle.
Qualifications:
- 12+ years of experience and 5+ years of experience in building various interactive visualizations in tools like Power BI, Thoughtspot, Tableau, R, D3.js, SAS, Grafana, etc.,
- 5+ years of demonstrated experience in working with various stakeholders and understanding business needs in Sales and Marketing, Revenue management, Supply Chain and other business areas.
- 5+ years of data analysis in SQL, data cleansing and processing in Python and other languages
- Proficient and experienced in building graphical representation of the insights and building various visual elements such as graphs, charts, maps and others
- Experience in highlighting the trends and relationships, causations, and other relationships through the Visualizations
- Familiarity and experience in AI/ML model prototyping environment with agile visualization demonstrations
- Hands on experience and familiarity with storage and compute services in Azure, AWS or GCP platforms
- Knowledge on SQL/NoSQL databases, microservices and REST APIs, docker
- Strong Knowledge on source code management, configuration management, CI/CD, security and performance.
- Ability to look ahead to identify opportunities and thrive in a culture of innovation
- Self-starter who can see the big picture, and prioritize your work to make the largest impact on the business and customer s vision and requirements
- Experience in building, testing, and deploying code to run on Azure cloud datalake
- Ability to Lead/nurture/mentor others in the team.
- A can-do attitude in anticipating and resolving problems to help your team to achieve its goals.
- Must have experience in Agile development methods
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