Machine Learning AI Engineer
Location: Hybrid in Atlanta, GA (3 days onsite 2 days remote) They want someone who can come in and hit the ground running from day 1. Full details are below. Top requirements are Python, Fast API/Flask, and ML Pipeline development. Locals only for now.
Top 3 Skills:
• Production-grade machine learning system development • Strong Python and ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost) • Data engineering and ML pipeline development
Detailed Responsibilities:
Model Development & Applied AI
• Partner with stakeholders to frame business problems as ML/AI use cases, define success metrics, and identify required data • Build and iterate on models (classification, regression, ranking, clustering, anomaly detection, NLP) • Perform feature engineering, dataset creation, labeling strategies, and model evaluation with strong rigor • Implement model interpretability, bias assessment, and responsible AI practices
Production Engineering & MLOps
• Build production-grade ML services and pipelines (batch and real-time) • Deploy models using CI/CD and infrastructure-as-code practices • Monitor data drift, model drift, latency, throughput, cost, and model quality • Maintain versioning of datasets, features, models, and experiments
Data & Platform Collaboration
• Collaborate with data engineering to build and maintain robust pipelines • Work with software engineers to integrate ML models via APIs, event streams, or workflows • Document architecture, runbooks, and model artifacts; participate in technical reviews
Required Skills & Technologies:
• 3–5+ years of experience deploying ML systems to production • Strong Python programming and ML libraries (scikit-learn, PyTorch, TensorFlow, XGBoost) • Data processing experience with Pandas, NumPy, SQL, and Spark (as applicable) • Experience building ML services (FastAPI or Flask), containerization (Docker), and CI/CD • Experience developing APIs and integrating with third-party APIs (4+ years) • Strong SQL skills (SQL Server or Oracle) • Familiarity with scripting (Python, Bash, PowerShell) • Version control experience (Git, GitHub, GitLab) • Understanding of DevOps and CI/CD best practices