Senior ML Ops Engineer
Philadelphia, PA (Market St), United States
USD 95K-171K Senior-level Full Time
Tasks
- Apply NLP and RAG research to experiments and systems
- Automate machine learning workflows
- Build CI/CD for ML
- Build LLM quality evaluation pipelines
- Build offline IR evaluation pipelines
- Develop MLOps solutions
- Develop pipelines using Elasticsearch OpenSearch Solr vector databases and graph databases
- Implement RAG query interpretation and chunking
- Implement hybrid retrieval and semantic search
- Maintain model registries and artifact stores
- Manage prompt libraries and guardrails
- Monitor and optimize infrastructure costs
- Run A/B testing
- Scale SageMaker pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon SageMaker | Apache Spark | Azure | Azure Machine Learning | B testing | CI/CD | Databricks | Elasticsearch | Graph Databases | Hybrid retrieval | Information Retrieval | Information Retrieval Metrics | Java | LLM Evaluation | Language Processing | MAP | MLflow | MRR | Machine Learning | NDCG | Natural Language | Natural Language Processing | Neo4j | OpenAI | OpenSearch | PySpark | PyTorch | Python | Retrieval metrics | Retrieval-Augmented Generation | Scala | Semantic Search | Solr | TensorFlow | Vector Databases
Education
N/A
Regions
Countries
States
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