AI Software Architect – AdTech
Sigma Software Group
full-time
Posted on:
Location Type: Remote
Location: Poland
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About the role
- Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation.
- Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment (Model Serving) on AWS.
- Define and implement a company-wide data strategy, including governance, quality, lineage, and access control.
- Implement robust monitoring for model drift, bias, and performance.
- Develop and expose "explainability" endpoints for critical AI decisions (e.g., campaign rejection) to support governance and the Agentic Economy.
- Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference.
Requirements
- Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions.
- 5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines).
- Experience deploying AI-powered features into customer-facing SaaS platforms, from recommender systems to intelligent assistants.
- Proven expertise in exposing ML inference via scalable, low-latency REST APIs.
- Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering.
- Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework with model inventory, explainability standards, and ethical review processes.
- Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field.
- Demonstrated ability to translate AI capabilities into product strategy, driving alignment with Product, Engineering, and Business teams.
- Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems.
- Upper-Intermediate level of English or higher.
Benefits
- Flexible working arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningmodel deploymentdata engineeringdata scienceMLOpsdata pipelinesREST APIsmodel monitoringanomaly detectionpredictive analytics
Soft skills
leadershipcommunicationcollaborationstrategic thinkingproblem-solvingdata governanceethical reviewproduct strategy
Certifications
MS in Computer SciencePhD in Computer Sciencecertification in data sciencecertification in machine learning