Specialist Solutions Architect - Data Scientist / ML Engineer (Financial Services)
Related skills
nlp azure aws gcp apache spark📋 Description
- Architect production ML workloads on Databricks, incl end-to-end pipelines and MLOps.
- Provide advanced ML support during technical sales: feature engineering, training, monitoring.
- Collaborate cross-functionally with product and engineering to influence roadmap.
- Build, scale, and optimize customer data science workloads and ML adoption.
- Advise on GenAI solutions (RAG, NL querying, content generation, monitoring).
🎯 Requirements
- 5+ years hands-on ML experience in ML Engineer or Data Scientist.
- ML Engineer: cloud infra for ML apps on AWS/Azure/GCP incl drift monitoring.
- Data Scientist: NLP, vector databases, fine-tuning LLMs; HuggingFace, LangChain, OpenAI.
- Graduate degree in CS/Engineering/Statistics or equivalent practical experience.
- Experience communicating and teaching technical concepts to non-technical and technical audiences.
- Preferred: 2+ years customer-facing; Spark experience; remote-friendly; travel up to 30%.
🎁 Benefits
- Comprehensive benefits; region-specific details at mybenefitsnow.
- Total compensation may include bonus and equity.
- Commitment to diversity and inclusion.
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