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We are seeking a Machine Learning Engineer / AI Engineer building production-grade AI solutions across LLMs, AI agents, and enterprise GenAI applications.
This role sits within an agile AI & ML engineering environment focused on developing scalable AI systems from experimentation through to deployment.
What you'll be working on:
Ideal background:
This is a strong opportunity for someone who enjoys solving real-world engineering challenges and wants to work on practical enterprise AI use cases rather than purely research-focused projects.
If you're interested, feel free to apply or reach out directly for a confidential discussion.
Job ID: 148630941
Skills:
Azure Databricks, Kubernetes, Python, Sql, AI Foundry, AI Search
Skills:
Machine Learning, AWS Glue, Sql, Azure Data Factory, MLops, Docker, Spark, Databricks, Predictive Analytics, Kubernetes, Python, Airflow, Generative AI, Feature Engineering, LLMs, model validation, AI Foundation Models
Skills:
bedrock , BigQuery, Sql, Tensorflow, Pandas, Pytorch, Gcp, Terraform, Kubernetes, Python, AWS, Airflow, GKE, scikit-learn, Pub Sub, SageMaker, Cloud Run, Vertex AI, Kubeflow, Vertex Pipelines
Skills:
Distributed Systems, Spark, Python, Airflow, data pipelines, workflow orchestration, model deployment, Flink, production data infrastructure, data infrastructure, production system reliability, Production Support, inference monitoring, ML systems
Skills:
model selection , Tensorflow, Version Control, Pytorch, Python, Testing, Data preprocessing, Documentation, Feature engineering, Mathematical concepts, LLM orchestration frameworks, AI agents, Agentic workflows
We don’t charge any money for job offers