We are seeking an experienced Machine Learning Engineer to design, build, and deploy AI models and data pipelines that address real-world business challenges. You will partner with stakeholders to translate measurable objectives into production-grade ML solutions, balancing performance, reliability, security, and scalability.

Job Purpose

Own the end-to-end delivery of production AI/ML systems—modeling through deployment—improving accuracy and efficiency while ensuring reliable monitoring, security/compliance, and measurable impact.

Job Duties and Responsibilities

• Python
• PyTorch or TensorFlow
• Machine learning algorithms
• Deep learning architectures
• Data preprocessing and feature engineering
• Model evaluation (AUC, F1, RMSE)
• MLOps tools (Docker, CI/CD)
• Cloud services (AWS/GCP/Azure)
• APIs for model serving
• SQL and big data tooling
• Deploy and monitor models in production reliably
• Optimize model performance and reduce latency
• Document solutions and ensure compliance
• Build scalable data pipelines for training and inference

Required Qualifications

• Python
• PyTorch or TensorFlow
• Machine learning algorithms
• Deep learning architectures
• Data preprocessing and feature engineering
• Model evaluation (AUC, F1, RMSE)
• MLOps tools (Docker, CI/CD)
• Cloud services (AWS/GCP/Azure)
• APIs for model serving
• SQL and big data tooling
• Experience deploying ML models to production
• Knowledge of reliability and security best practices
• Ability to document and support compliance requirements