AI / ML Engineer
About this role
Employer-provided description, formatted for easier reading.
Required Skills and Qualifications
- Communication:
Excellent verbal and written communication, with the ability to explain complex concepts simply and influence decisions.
- AI/ML expertise:
Strong grounding in machine learning, deep learning, and (ideally) GenAI/LLMs, including RAG and fine-tuning.
- MLOps:
Hands-on experience with tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, Azure ML, or Databricks.
- Engineering:
Strong programming skills (Python required), plus experience with Docker, Kubernetes, and microservices/API design.
- Cloud and data:
Experience with AWS, Azure, or GCP, and with big data technologies (Spark, Kafka, data lakes/warehouses).
- Stakeholder management:
A track record of working with senior stakeholders, managing expectations, and delivering across teams.