AI/ML Team Lead
W. R. Grace
- Chennai, Tamil Nadu
- Permanent
- Full-time
- Lead a group of data science members and monitor their day-to-day activities.
- Understand business use of data and stakeholder requirements to support strategic business objectives.
- Create and Develop pilot projects to demonstrate the value of the proposed AI solutions. Collaborate with development teams to iterate the Solutions towards the business value demonstration.
- Coordinate with relevant (IT/SAP/Functional/BODS/Cloud) teams to make sure the data pipelines are set up at right times for further analytics work.
- Develop a process to accelerate (scale up) the dashboard life cycle process.
- Develop and maintain a process for proper documentation of data pipelines, logics, programming, UAT.
- Collaborate with functional experts, data scientists, and project managers, to ensure successful delivery of AI solutions. Proactively illustrate the risks and mitigation plan to stake holders.
- Develop data-driven decisions and insights using predictive models to support grace operations and monitor the performance of assets as a function of parametric adjustment for manufacture excellence.
- Analyze large volumes of internal and external data using common data science tools (Python, SQL/NoSQL etc) and various ML Models to deliver valuable insights for operational excellence.
- Effectively summarize and communicate complex analytic results to a variety of audiences.
- Be the central point of contact for technical clarifications for stake holder and customers. Develop solutions for the customer concerns and feedback.
- Awareness and evaluation of latest technologies in AI field and evaluating them for manufacturing sectors.
- Extend the Support to data PARC (a software used to monitor live plant operations) and historian users and create a platform for quick/ better decision taking ability among plant operators/leaders.
- BS/MS in Engineering (Chemical) with minimum of 7 years prior experience as AI/ML Specialist level role or BS/MS in any other background with minimum of 5 years prior experience in Chemical Manufacturing
- Knowledge and/or experience with data acquisition, preparation, and validation.
- Good knowledge and experience in handling large volume data sets using Programming languages (python, SQL & other script languages) & various ML models to develop predictive models to make operational improvement decisions/business decisions.
- Experience with cloud environments: data lake, data warehousing, Google Cloud preferred.
- strong experience in advanced analytics, model building, statistical modeling
- Good knowledge and experience in handling implementing ML models (such as regression models, Classification models, Clustering models, Deep Learning Models)
- Linear, Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbours, Support Vector Machines.
- Statistical techniques: ANOVA, Principal Component Analysis,
- Deep Learning Methods: ANN, CNN, RNN, Transformers.
- Strong written and verbal communication skills
- Strong interpersonal skills needed to manage and collaborate with multiple internal resources within the Grace organization and external resources, including management of vendor relationships.
- Outstanding analytical skills including financial business case creation.
- Ability to quickly learn details of Grace's chemical processes and identify the impact of automation improvements in operations performance, maintenance performance, Production planning, Supply chain Metrics.