Job Description
Must Have Technical/Functional Skills
- Proficiency in AWS services, AI/ML modeling, Data modeling, data engineering, data analytics, tableau and Azure devops for project management.
- Strong Proficiency in Python and/or other programming language
- Should perform data analysis detailing the trends and bottlenecks in the MRO process and part supply chain.
- Experience with unstructured data processing and NLP
- Experience with generative-ai and agentic AI frameworks
- Experience in applying analytics in business problems
- Should develop, test, and validate the various machine learning models to predict for issues for future operations based on the historical data analysis from past operations.
- Development of data models using AWS services (e.g., Sagemaker, Glue, Lambda, S3, Redshift).
- Publish accuracy, precision, recall, F1-Score, MSE, R-squared etc. for the models
- Configuration of monitoring, logging, and alerting mechanisms (e.g., CloudWatch, SNS).
- Develop modular code that passes the static and dynamic Info-sec vulnerability scans
- Deploy automation to change the solution to be automated. E.g. Deployments, Certificate updates, Infrastructure changes, code changes, failure notifications etc.
- Document Runbook details of the above-mentioned models along with all the cloud and code assets created by the team.
- Conduct testing and validation activities for data and developed models.
Supply Chain Domain Knowledge
Strong grasp of supply chain processes, including inventory management, procurement and logistics.
Roles & Responsibilities
- Collaborate with stakeholders to understand the current MRO process flow
- Gather actionable insights into the process flow and supply chain for the maintenance, repair, and overhaul operations
- Analyze data around these processes and identify places where they can be optimized to provide quality services with greater speed.
- Incorporated models into a broader application which will drive actions by business and operations stakeholders
- Modeling & Advanced Analytics
- Algorithmic framework to process financial data and generate structured reports
- Validate accuracy of the generated reports against human written reports
- NLP/GenAI Modeling
- Algorithmic framework to process and derive insights from unstructured constraint notes data
- Identify data trends such as last time buyer updated the record and other information to identify potentially stale, complete , cancelled and/or erroneous records
- Development of the project plan with key milestones and project deliverables
- Report out to stakeholders highlighting achievements, risks, and future work.
- Develop, test, and validate the various machine learning models
- Follow the Agile standard for the development of the requested proposal.
- Bring best practices, standards, and innovative ideas for Data Science, process, architecture, and design.
- Requirements gathering and architecture design.
- Development of data models using AWS services (e.g., Sagemaker, Glue, Lambda, S3, Redshift).
- Develop new Data Ingestion Patterns, use existing patterns/frameworks.
- Make data model outputs available for consumption, applications, and self-service.
- Build models that are performant and optimized for cloud expenses.
- Implement security, governance, monitoring, alerting, and job orchestration as defined by ARB.
- Conduct reviews along with frequent communication for stakeholders.
- Deployment of ingestion pipelines into dev, pre, and production environments.
- Configuration of monitoring, logging, and alerting mechanisms (e.g., CloudWatch, SNS).
- Unit testing, integration testing, functional, and non-functional testing.
- Handover documentation with a training session.
Generic Managerial Skills, If any
- Azure devops for project management
- Exceptional communication to bridge technical and non-technical teams.
- Strong analytical and problem-solving skills.
- Stakeholder management and cross-functional collaboration.
Base Salary Range : $135,000 to $140,000 Per Annum
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications: BACHELOR OF COMPUTER SCIENCE