Sr. AI-ML Engineer Data Analytics

TK Elevator is currently seeking a highly skilled and innovative Sr. AI-ML Engineer Data Analytics located in Atlanta, GA. The role involves designing, building, and operationalizing machine learning and AI solutions across the full model lifecycle, while ensuring compliance with data governance and regulatory requirements.

Responsibilities:

• Design and implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
• Lead AI/ML use-case development—problem framing, data exploration, algorithm selection, experimentation, and productionization—for manufacturing and enterprise applications
• Apply supervised, unsupervised, and generative AI techniques including NLP, computer vision, time-series forecasting, and LLM-based applications to business use cases
• Design and maintain MLOps infrastructure including model registries, CI/CD pipelines, experiment tracking, and deployment automation on cloud platforms (Azure, AWS, or GCP)
• Establish model monitoring, drift detection, alerting, and retraining triggers to maintain accuracy and reliability in production
• Build data preparation and transformation pipelines for ML workflows, ensuring quality, consistency, and reproducibility across training and inference environments
• Partner with the Data Governance Office and business data owners to ensure training datasets comply with lineage, privacy, and regulatory requirements
• Provide technical guidance and peer review across AI/ML initiatives; mentor junior engineers and data scientists on engineering best practices and production-readiness
• Collaborate with business and IT stakeholders to translate use case requirements into technical specifications and communicate model results in accessible terms
• Evaluate emerging AI/ML frameworks and tools; recommend adoption paths that advance the team's modeling and operational maturity