AI Specialist
Chennai, TN, IN, 600004
W. R. Grace
Built on talent, technology, and trust, Grace high-performance specialty chemicals and materials improve our customers’ products and processes.Job Description
AI specialist is part of the India Digital Operations Centre and will be responsible for developing AI/ML solutions for catalyst manufacturing (Operations, Maintenance, safety, Quality, Supply Chain, Logistics etc. that will drive improvement in Grace manufacturing capabilities across the world. Critical to success will also be requirements for the person to recommend ways to improve operations performance, maintenance performance, Production planning, Supply chain Metrics.
Responsibilities
- 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.
- 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 & 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.) & various ML Models to deliver valuable insights for operational excellence.
- Effectively summarize & 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 & evaluation of latest technologies in AI field and evaluating them for manufacturing sectors.
Required Skills
- 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.
Required Qualifications
- BS/MS in Engineering (Chemical) with minimum of 3+ years prior experience as AI/ML Specialist level role or BS/MS in any other back ground with minimum of 3+ 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)
- Proficient in below techniques is highly desirable.
- Linear Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbours, Support Vector Machines.
Required Qualification - Cont..
- Statistical techniques: ANOVA, Principal Component Analysis,
- Deep Learning Methods: ANN, CNN, RNN, Transformers.
- Good understanding and hands-on experience with time series and forecasting modelling (ARIMA, SARIMA, Holt winter etc).
- Knowledge of Agile / Scrum is preferable.
- Experience in deploying and monitor ML models in Operations, delivering data products to end-users. Experience with ML CI/CD pipelines.
- Develop an optimized solution from predictive models & convert them into tool-based solution for operation/business team leaders.
- Experience in Preventive maintenance predictive models, equipment reliability analysis models are preferable but not mandatory.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile ANN CI/CD Classification Clustering Data Warehousing Deep Learning Engineering GCP Google Cloud Machine Learning ML models NoSQL Pipelines Python RNN Scrum SQL Statistical modeling Statistics Transformers
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs