
Data/AI Developer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Develop and validate machine learning models focused on inventory and demand forecasting.
• Create documentation for model validation processes.
• Automate the identification and validation of product substitutions during supply chain disruptions.
• Construct LLM and agentic workflows within a controlled, auditable AI operating framework.
• Execute MLOps on Databricks, utilizing MLflow for model serving and monitoring.
• Provide dashboards and analytics for stakeholders in the supply chain.
• Over 7 years of relevant experience, with a minimum of 3 years in production machine learning.
• Proficiency in Python.
• Strong knowledge of SQL.
• Experience with Databricks or similar cloud machine learning platforms.
• Background in MLOps, particularly with MLflow, model serving, and monitoring.
• Capability to obtain a Tier 2 / Moderate Risk Public Trust clearance.
• Eligibility to secure a VA PIV credential.
• Bachelor's degree in computer science, data science, statistics, or a related discipline.
• Preferred qualifications include Databricks Certified Generative AI Engineer or Machine Learning Professional; AWS ML or Azure AI Engineer certifications are also accepted.
• Desired expertise includes LLM and agentic AI development.
• Desired knowledge in demand and inventory forecasting.
• Desired experience with VA or federal health data.
• Comprehensive healthcare benefits exceeding industry standards.
• Options for remote work.
• Generous paid time off.
• Opportunities for training and certification.
• Healthcare Savings Account available.
• Flexible Savings Account offered.
• Paid life insurance included.
• Short-term and long-term disability coverage.
• 401(k) matching program.
• Tuition reimbursement assistance.
• Employee Assistance Program available.
• Paid holidays provided.
• Military leave policy in place.
• Additional compensation, including bonuses, may be available for eligible roles.
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