Principal AI/ML Architect
Tasks
- Advise customers on MLOps standards and architecture
- Architect production ML systems at scale
- Deliver peer guidance and strengthen ML practice
- Design and orchestrate proof of concepts
- Establish architecture guidance and technical quality
- Lead end to end ML assessments
- Provide senior technical authority on client engagements
- Shape ML evaluation and governance approaches
- Support proposal scoping with technical depth
Perks/Benefits
- 401k with company match
- Company issued laptop
- Dental insurance
- Equipment and office stipend
- Flexible spending account
- Learning and development stipend
- Medical insurance
- Paid Holidays
- Remote work
- Term disability insurance
- Term life insurance
- Unlimited paid time off
- Vision insurance
Skills/Tech-stack
AWS Lambda | Airflow | Amazon Bedrock | Amazon Kinesis | Amazon OpenSearch | Amazon SageMaker | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Bias detection | CI/CD | DPO | Deep learning | Deep learning frameworks | DeepSpeed | Delta Lake | Docker | FSDP | Fine Tuning | Generative AI | Hugging Face | Hugging Face Transformers | JAX | Kubeflow Pipelines | Kubernetes | LLM-as-a-Judge | LLMOps | Langchain | Language Models | Large Language Models | Learning frameworks | Llamaindex | LoRA | MLOps | MLflow | Machine Learning | Model Evaluation | PEFT | PGVector | Pinecone | PyTorch | QLoRA | Quantization | RLHF | Ragas | Responsible AI | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Terraform | Vector Databases | Weaviate | Weights and Biases | XGBoost
Education
N/A
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