Senior AI/ML engineer
Tasks
- Build Databricks AI Gateway integrations
- Build LLM judge ecosystem
- Collaborate with cross-functional teams
- Create golden test sets
- Define Delta table schemas
- Design evaluation frameworks
- Develop fine-tuning pipelines
- Develop internal SDKs and APIs
- Engineer reward functions
- Generate synthetic QandA data
- Implement CI CD pipelines with evaluation gates
- Maintain AWS infrastructure with Terraform
- Manage EKS IAM S3 infrastructure
- Orchestrate evaluation workflows
- Serve machine learning models
- Work with technology partners on pre release capabilities
Perks/Benefits
- Accelerated professional growth
- Enhanced parental leave
- Female health leave
- Fully paid sabbatical
- Health pension wellbeing benefits
- Hybrid work model
- In-person collaboration
- Learning Support
- Maternity pay
- Paid holiday
- Paternity pay
- Same sex adoptive parental pay
- Sick leave
Skills/Tech-stack
AWS | CI/CD | Databricks | Deep learning | Delta Lake | Delta Tables | EKS | Fine Tuning | GitHub Actions | IAM | Kubernetes | LLM Evaluation | Language Models | Large Language Models | LoRA | MLflow | Machine Learning | Model Serving | Parquet | Preference optimization | Prompt engineering | Python | Reinforcement Learning | SFT | Spark | Terraform | Unity Catalog
Education
N/A
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