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Data/AI Developer
TISTA Science and Technology Corporation. Build and validate machine learning 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 strong proficiency in MLOps practices using Databricks and MLflow. Demonstrated ability to deliver actionable analytics and dashboards for supply chain stakeholders within a governed AI operating model.
Highest-signal resume keywords
Machine Learning Model DevelopmentMLOps with MLflowDatabricksPythonSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModel ValidationDemand ForecastingInventory ForecastingAutomationLLM DevelopmentAgentic AI Development
Tools & Technologies
DatabricksMLflowCloud ML Platforms
Certifications & Qualifications
Databricks Certified Generative AI EngineerMachine Learning ProfessionalAWS ML EngineerAzure AI Engineer
Industry Keywords
Public TrustVA PIV CredentialFederal Health Data
Tech Stack
Tools & technologiesAWSAzureCloudPythonSQL
About the role
Key responsibilities & impact- Build and validate machine learning models for inventory and demand forecasting
- Document model validation
- Automate identification and validation of product substitutions during supply disruptions
- Build LLM and agentic workflows within 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
- Ability to obtain a Tier 2 / Moderate Risk Public Trust
- Ability to obtain a VA PIV credential
- 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
- Desired skills include LLM and agentic AI development
- Desired skills include demand and inventory forecasting
- Desired skills include VA or federal health data experience
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
- 401(k) match
- Tuition reimbursement
- Employee Assistance Program
- Paid holidays
- Military leave
- Additional compensation such as bonuses may be available for eligible positions