Machine Learning Engineer II
Tasks
- Analyze failure patterns and improve models prompts retrieval strategies and agent behavior
- Apply engineering principles for distributed systems concurrency performance testing debugging and code reviews
- Apply guardrails grounding monitoring and data quality controls to reduce incorrect outputs
- Build data pipelines using llms transformers and rag
- Build feature and evaluation pipelines for structured semi structured and unstructured data
- Build ml systems for classification enrichment information extraction ranking and data quality
- Build production ai systems and own features from design and evaluation to deployment monitoring and support
- Define quality metrics and acceptance criteria for accuracy relevance grounding latency reliability and cost
- Design develop and productionize machine learning and generative ai solutions
- Develop rag llm applications using semantic retrieval tool calling and agent workflows
- Develop reusable ai services apis and orchestration components
- Experiment with models prompts embeddings retrieval techniques and evaluate using quality metrics
- Maintain evaluation datasets automated evaluation frameworks and feedback loops
- Maintain versioning for models prompts configurations and evaluations
- Monitor and improve quality reliability latency scalability and cost
- Operate cloud native ai services using docker kubernetes ci cd and observability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Classification | Concurrency | Data Pipelines | Data Processing | Data Quality | Debugging | Distributed Systems | Docker | Embeddings | Feature Engineering | GCP | Generative AI | Information Extraction | Integration Testing | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Inference | Natural Language | Natural Language Processing | Observability | Pandas | Prompt engineering | Python | RAG | Retrieval | SQL | Spark | Transformers | Unit Testing | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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