Senior AI/Machine Learning Developer
Tasks
- Apply privacy and compliance controls
- Build batch and streaming data pipelines
- Build production AI systems end-to-end
- Containerize and manage deployments with Kubernetes
- Create feature stores and evaluation datasets
- Design experiments and select models
- Develop ML solutions for ranking forecasting recommendations NLP and computer vision
- Ensure data quality and lineage
- Handle multilingual NLP and PII aware data
- Implement MLOps with CI CD and model governance
- Implement and deploy AI services
- Implement retrieval augmented generation systems
- Integrate with cross functional teams to deliver business outcomes
- Monitor model performance and SLIs
- Set up observability and canary A B testing
- Ship LLM features with evaluation and guardrails
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Act | AWS | Airflow | Azure | Azure ML | B testing | Bias detection | CI/CD | Canarying | Content Filtering | Databricks | Differential Privacy | Distillation | Docker | EU AI | EU AI Act | Faiss | Feature Store | Federated Learning | GCP | GDPR | GitHub Actions | GitLab | Hugging Face | Inference Server | JAX | Kafka | Kubernetes | LLM | MLflow | Machine Learning | Milvus | Observability | PGVector | Prefect | Prompt engineering | PyTorch | Python | Quantization | RAG | Ray | Red Teaming | SQL | SageMaker | Snowflake | Spark | TensorFlow | Triton Inference | Triton Inference Server | Vector Database | Vertex AI | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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