Hybrid Senior AI Engineer

Posted last month

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About the role

  • Leading the design, development, and deployment of AI/ML solutions to deliver measurable business value
  • Partnering with stakeholders to define solution approaches, from traditional ML use cases to GenAI applications
  • Designing and implementing reusable assets, components, and infrastructure to support AI/ML and GenAI workloads
  • Developing RAG pipelines, copilots, and conversational AI solutions
  • Collaborating with DevOps/MLOps Engineers to build robust pipelines for training, deployment, monitoring, and retraining
  • Ensuring compliance with governance, data privacy, and ethical AI standards
  • Mentoring junior engineers and contributing to internal capability building
  • Staying ahead of AI/ML and GenAI trends, evaluating new methods, frameworks, and tools for adoption

Requirements

  • Proven hands-on experience in designing, deploying, and maintaining AI/ML solutions in production environments
  • Strong skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, and scikit-learn
  • Experience working with lakehouse architectures, ideally on Databricks
  • Solid understanding of data engineering practices and feature pipeline development
  • Familiarity with Azure AI services, Microsoft Copilot Studio, or GenAI frameworks
  • Strong foundation in classic ML and data science workflows
  • Applying MLOps principles across the full model lifecycle
  • Using CI/CD, testing, and version control platforms such as MLflow

Benefits

  • Flexible work arrangements

Job title

Senior AI Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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