Senior AI Engineer leading design, development, and deployment of AI/ML solutions for Seco. Collaborating with stakeholders to improve AI strategy and drive scalable adoption of AI technologies.
Responsibilities
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
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