AI/ML Engineer

Tasks

• design, develop, deploy, and manage machine learning solutions across the complete ML lifecycle.
• operationalize ML models at scale, including automated training and deployment pipelines, model versioning, experiment tracking, model monitoring, drift detection, and CI/CD.
• work closely with Data Scientists, Data Engineers, Cloud/DevOps teams, architects, and product stakeholders to deliver scalable and reliable AI/ML solutions.

Requirements

• 5-10+ Years
• Strong foundation in Data Science, Machine Learning, statistics, and predictive modelling.
• Hands-on experience with supervised and unsupervised ML techniques.
• Strong understanding of feature engineering, model selection, hyperparameter tuning, validation, and performance evaluation.
• Experience with ML frameworks such as: Scikit-learn TensorFlow PyTorch XGBoost
• Strong proficiency in Python and familiarity with SQL.
• Demonstrated experience managing ML solutions from experimentation through production.
• Experience with: Experiment tracking Model registry and versioning Dataset/model lineage Reproducibi

Schedule

• Onshore
• 3 days onsite

Location

• Atlanta, GA