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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:
Kafka, Grafana, Datadog, Sql, Rabbitmq, Gcp, Docker, Sqs, Flask, FastAPI, Rest Apis, Python, AWS
Skills:
cml , Java, Ranger, Hadoop, Kafka, React, Hive, shell scripting, XGBoost, Flask, Python, LangChain, Hugging Face, Flink, Ozone, Iceberg, Spark MLlib, Trino, Nifi, Cloudera Machine Learning
Skills:
Java, Performance Tuning, Hadoop Ecosystem, Kafka, Hive, Shell scripting, Spark, Python, Real-time data processing systems, ML model operationalization, Flink, Iceberg, Transformation frameworks, Data ingestion, Trino, NiFi, Cloudera Machine Learning
Skills:
model selection , Version Control, Testing, Tensorflow, Pytorch, Python, evaluation techniques, data preprocessing, Documentation, mathematical concepts, agentic workflows, LLM orchestration frameworks, AI agents, feature engineering
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
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