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Data/AI Developer
TISTA Science and Technology Corporation. Build and validate ML models for inventory and demand forecasting .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in building and validating machine learning models for inventory and demand forecasting, with a strong focus on MLOps practices using Databricks and MLflow. Proficient in developing LLM and agentic AI workflows within a governed AI operating model, while delivering actionable analytics for supply chain stakeholders.
Highest-signal resume keywords
Machine Learning Model DevelopmentMLOps with MLflowDatabricks Cloud PlatformDemand ForecastingLLM and Agentic AI Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PythonSQLMLOpsModel ServingModel MonitoringInventory ForecastingData ValidationAutomationAnalytics DeliveryCloud ML Platforms
Tools & Technologies
DatabricksMLflowDashboardsAI Operating ModelAgentic Workflows
Certifications & Qualifications
Databricks Certified Generative AI EngineerMachine Learning ProfessionalAWS ML EngineerAzure AI Engineer
Industry Keywords
VA Health DataFederal Health DataPublic TrustSupply Chain ManagementGovernance
Tech Stack
Tools & technologiesAWSAzureCloudPythonSQL
About the role
Key responsibilities & impact- Build and validate ML models for inventory and demand forecasting
- Document model validation
- Automate identification and validation of product substitutions during supply disruptions
- Build LLM and agentic workflows inside a governed, auditable AI operating model
- Run MLOps on Databricks, including MLflow, model serving and monitoring
- Deliver dashboards and analytics for supply chain stakeholders
Requirements
What you’ll need- 7+ years of experience, including 3+ years in production machine learning
- Python
- SQL
- Databricks or another cloud ML platform
- MLOps experience with MLflow, model serving and monitoring
- LLM and agentic AI development
- Demand and inventory forecasting
- VA or federal health data experience
- Bachelor's degree in computer science, data science, statistics or a related field
- Databricks Certified Generative AI Engineer or Machine Learning Professional preferred; AWS ML or Azure AI Engineer accepted
- Must be able to obtain a Tier 2 / Moderate Risk Public Trust
- Must be able to obtain a VA PIV credential
Benefits
Comp & perks- Above industry healthcare benefits
- Remote working options
- Paid time off
- Training/Certification opportunities
- Healthcare Savings Account
- Flexible Savings Account
- Paid life insurance
- Short-term disability
- Long-term disability
- 401K match
- Tuition reimbursement
- Employee Assistance Program
- Paid holidays
- Military leave
- Additional compensation such as bonuses may be available for eligible positions