remote
AI Engineer - Forward Deployed Engineer - Databricks
AI Engineer
Customer‑facing AI Engineer who partners with enterprises to design, build, and productionize large‑scale AI solutions using Python, Spark, and cloud-native tooling.
About the role
Key Responsibilities
- Collaborate with customers to understand business problems and translate them into scalable AI architectures.
- Design, develop, and deploy end‑to‑end machine‑learning pipelines on Apache Spark and Kubernetes clusters.
- Integrate and operationalize models using MLflow, CI/CD, and cloud services (AWS, Azure, or GCP).
- Provide technical guidance and best‑practice recommendations to engineering and product teams.
- Document solutions, create reproducible demos, and conduct knowledge‑transfer workshops for client teams.
Requirements
- Strong proficiency in Python and experience building production ML workloads on Spark.
- Hands‑on experience with container orchestration (Kubernetes) and cloud platforms (AWS, Azure, or GCP).
- Deep understanding of machine‑learning concepts, model training, and deployment at scale.
- Excellent communication skills and a proven track record of delivering technical solutions in client‑facing roles.
- Bachelor’s or higher in Computer Science, Engineering, or a related field; advanced degrees are a plus.
Skills
pythonapache sparkmachine learningkubernetesawsmlflow