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

• Customer focus
• Results and Accountability
• Innovation
• Transparency and Integrity
• Inclusiveness
• Sense of urgency
• Collaboration and Teamwork
• Teamwork

Education/Skills/Experience:

• Bachelors / Master’s degree in Computer Science / Chemical Engg. with an exposure and interest in Data Analytics / Science.

Location: Pune

Work Mode: Work from Office

Compensation:

• As per market standards
• Benefits like Employer PF, Gratuity, Insurance (Mediclaim + Accidental) Benefits etc