AI/ML Engineering Manager
Tasks
- Advise on MLOps and LLMOps
- Build reference architectures and accelerators
- Design solutions and architecture
- Drive pre-sales scoping
- Ensure technical quality
- Lead ML assessments
- Lead client engagements end-to-end
- Manage team performance
- Mentor engineers and architects
- Perform hiring and technical assessments
- Provide people management and feedback
- Shape ML architecture
- Support production monitoring and model lifecycle
- Unblock delivery on hard problems
Perks/Benefits
- 100 percent remote work
- Equipment and office stipend
- Flexible PTO
- Generous holidays
- Individual professional development plan
- Learning and development stipend
- Paid for exams and certifications
- Peer bonus awards
- State of the art laptop and tools
Skills/Tech-stack
AWS | AWS CDK | AWS CloudFormation | AWS Glue | Airflow | Amazon Bedrock | Amazon OpenSearch | Amazon SageMaker | Apache Iceberg | Apache Kafka | Apache Spark | Artificial Intelligence | Bias and fairness | CI/CD | Dagster | Delta Lake | Docker | Huggingface | JAX | Kubeflow Pipelines | Kubernetes | LLMOps | Langchain | Llamaindex | MLOps | MLflow | Machine Learning | Model Evaluation | PGVector | Pinecone | PySpark | PyTorch | Python | Quantization | RAG | Responsible AI | Scikit-learn | TensorFlow | Terraform | Triton | VLLM | Vector Databases | XGBoost
Education
N/A
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