Machine Learning Architect

We are seeking a highly skilled Machine Learning Architect to design and implement cutting-edge Al/ML solutions that drive business innovation. This role requires expertise in Google Cloud, Gurobi, and Google OR, ensuring scalable and optimized machine learning models for complex decision￾making processes.

Key Responsibilities

•⁠ ⁠Design and develop machine learning architecturesthat align with business objectives.

•⁠ ⁠Implement optimization models using Gurobi and Google OR to solve complex operational problems.

•⁠ ⁠Leverage Google Cloud Al/ML services (Vertex Al, TensorFlow, AutoML) for scalable model

deployment.

•⁠ ⁠Collaborate with data scientists, engineers, and business stakeholders to integrate ML solutions into production.

•⁠ ⁠Ensure high-performance computing and efficient resource utilization in cloud environments.

•⁠ ⁠Develop automated pipelines for data preprocessing, model training, and deployment.

•⁠ ⁠Monitor and enhance ML model performance, ensuring accuracy and efficiency.

•⁠ ⁠Stay updated with emerging Al/ML trends and best practices.

Required Qualifications

•⁠ ⁠Bachelor's/Master's degree in Computer Science, Al, Data Science, or related field.

•⁠ ⁠5+ years of experience in machine learning architecture and deployment.

•⁠ ⁠Strong expertise in Google Cloud Al/ML services.

•⁠ ⁠Hands-on experience with Gurobi and Google OR for optimization problems.

•⁠ ⁠Proficiency in Python, TensorFIow, PyTorch, and cloud-based ML frameworks.

•⁠ ⁠Experience in big data processing (Apache Spark, BigQuery).

•⁠ ⁠Strong problem-solving skills and ability to work in cross-functional teams

Preferred Qualifications

•⁠ ⁠PhD in Al/ML or related field.

•⁠ ⁠Experience in reinforcement learning and optimization algorithms.

•⁠ ⁠Knowledge of MLOps and CI/CD pipelines for ML model deployment.

•⁠ ⁠Familiarity with Google Cloud security best practices