Senior, Data Scientist (Machine Learning Engineer)
USD 110K-220K (estimate) Senior-level Full Time
Tasks
- Apply GenAI NLP and computer vision for compliance detection
- Build and improve models for policy violation classification
- Build and optimize batch and real time inference pipelines
- Deploy and manage ML workloads on Kubernetes
- Design and deploy production ML systems
- Drive ML architecture decisions for model serving
- Establish ML engineering best practices
- Implement model monitoring and data drift detection
- Own full model lifecycle from experimentation to serving
- Translate business requirements into model KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | CI/CD | Computer Vision | Data Drift | Data Drift Detection | Deep learning | Docker | Drift Detection | Fine Tuning | Generative AI | Git | Helm | Huggingface | Hybrid retrieval | Inference Server | Kubeflow | Kubernetes | LLM | Language Processing | LoRA | MLOps | MLflow | Machine Learning | Model Monitoring | Multimodal Models | Natural Language | Natural Language Processing | NoSQL Databases | NumPy | Online evaluation | PEFT | PGVector | Pinecone | Prompt engineering | PyTorch | Python | QLoRA | RAG | Ray | Relational databases | Scikit-learn | Spark | Torch | Torchserve | Transformers | Triton Inference | Triton Inference Server | VLLM | Vector Databases | Weaviate | Weights and Biases
Education
Regions
Countries
States
Cities
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