Essential Duties and Key Competencies :
	- A Chemical Engineer / analysts with comprehensive engineering, mathematical, statistical, and analytical skills
	- Expertise in using ML/AI frameworks (Python, R, MATLAB, etc.) and statistical techniques to identify the correlations and trends in the data
	- Effective mining of data and analysis of data to build performance model and decision support frameworks such as predictive analytics
	- A strong background on chemical engineering fundamentals and first-principle
	- Proficient with statistical (process) and time series data (DOE, manufacturing / Historian)
	- Identify, define and execute projects for adapting latest technologies and tools like Data aggregation, Data cleaning, Data quality, Integration, Data Management, Data Analytics, Data Science, etc.
	- Influence stakeholders from various disciplines and across different levels of seniority across the organization.
	- Solution mindset, creative and good at relationship management
	- Experienced in understanding problems, collecting data, establishing facts and drawing valid conclusions
	- Provide expertise in deployment of high-end technological initiatives and digital solutions like historian, data analytics, BI, workflow automation tools, Data Analytics (using partner platforms),
	- Experience in AWS, Azure machine learning services is preferred
	- Strong understanding of database systems, querying the database, time series data is preferred
	- Collaborate / work closely with Service Delivery Team & Marketing team
	- Successful track record in leading and delivering projects, large programs, applications across companies and domains
	- Strong domain knowledge of Pharma, Chemical, Oil & Gas, Utilities, etc.
	- Results oriented leadership and management skills with strong communication, people management and problem-solving skills
	- Self-starter, quick learner, experience in working in multi-cultural environment across different geographies
Additional Skills (Optional)
	- Certification in Azure, AWS or GCP machine learning platforms
	- Understanding of cloud-based ML/AI architecture and deployment strategies
	- Understanding of MLOps and its best practices
	- Experienced with mlflow, Jenkins and others
	- Knowledge of SQL, No-SQL, time-series databases
VALUES
	- Results and Accountability
	- Transparency and Integrity
	- Collaboration and Teamwork
Education/Skills/Experience:
	- Bachelors / Master s degree in Computer Science / Chemical Engg. with a minimum of 1+ years of relevant work experience