Hi, Location: Alpharetta, Georgia AI/ML Engineer We are seeking a talented and innovative AI/ML Engineer to join our growing team. In this role, you will design, build, and deploy machine learning models and AI-driven systems that drive impactful insights and real-world outcomes. You will work closely with data scientists, software engineers, and product teams to operationalize intelligent solutions using modern cloud-based infrastructure, especially on Google Cloud Platform (GCP). Key Responsibilities: Design, develop, and implement machine learning algorithms and predictive models. Build and deploy scalable ML solutions using Google Cloud AI/ML tools, including Vertex AI, Big Query ML, AI Platform, and Dataflow. Analyze large, complex datasets to extract insights and inform model development. Develop and maintain production-grade ML pipelines on GCP (data ingestion, preprocessing, model training, serving). Collaborate with cross-functional teams to understand business needs and translate them into AI/ML solutions. Monitor and improve model performance through continuous evaluation and retraining strategies. Ensure responsible and ethical AI practices including bias detection, model explainability, and compliance. Stay up-to-date with the latest trends in cloud-native AI, machine learning, and data engineering. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5+ years of hands-on experience in machine learning and AI development. Strong experience working with Google Cloud Platform, especially with Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, and XGBoost. Familiarity with data wrangling tools (e.g., pandas, NumPy) and SQL. Understanding of ML model evaluation, versioning, and deployment best practices. Solid foundation in statistics, linear algebra, and probability theory. Preferred Qualifications: GCP Professional ML Engineer or Data Engineer certification. Experience integrating ML models with real-time inference systems and APIs on GCP. Knowledge of MLOps and CI/CD pipelines using tools like Cloud Build, Kubeflow, and Docker. Background in deep learning, NLP, computer vision, or generative AI. Contributions to open-source ML projects or published research in AI/ML fields. Job Type: Contract Pay: $70.00 - $75.00 per hour Expected hours: 40 per week Experience: AI/ML Engineer: 10 years (Required) Location: Alpharetta, GA (Required) Work Location: In person