Machine Learning Architect (8+ years )

Location:

Experience:

Job Type:

Job Overview:

Machine Learning Architect

Key Responsibilities:

• Design and develop robust machine learning architectures aligned with business objectives.
• Implement optimization models using

  Gurobi

  and

  Google OR

  to address complex operational problems.
• Leverage

  Google Cloud AI/ML services

  (Vertex AI, TensorFlow, AutoML) for scalable model training and deployment.
• Build automated pipelines for data preprocessing, model training, evaluation, and deployment.
• Ensure high-performance computing and efficient resource usage in cloud environments.
• Collaborate with data scientists, ML engineers, and business stakeholders to integrate ML solutions into production.
• Monitor, retrain, and enhance model performance to maintain accuracy and efficiency.
• Stay current with emerging AI/ML trends, tools, and best practices.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• 5+ years of experience in machine learning solution architecture and deployment.
• Strong hands-on experience with

  Google Cloud AI/ML services

  (Vertex AI, AutoML, BigQuery, etc.).
• Deep expertise in optimization modeling using

  Gurobi

  and

  Google OR-Tools

  .
• Proficiency in Python, TensorFlow, PyTorch, and ML libraries/frameworks.
• Solid understanding of big data processing frameworks (e.g.,

  Apache Spark

  ,

  BigQuery

  ).
• Excellent problem-solving skills with the ability to work across cross-functional teams.

Preferred Qualifications:

• PhD in Machine Learning, Artificial Intelligence, or a related field.
• Experience with

  Reinforcement Learning

  and complex optimization algorithms.
• Working knowledge of

  MLOps

  , CI/CD pipelines, and Kubernetes for model lifecycle management.
• Familiarity with

  Google Cloud security best practices

  and identity/access management.