Senior, Data Scientist (Machine Learning Engineer)
USD 110K-220K (estimate) Senior-level Full Time
Tasks
- Apply GenAI NLP and computer vision
- Build model lifecycle from experimentation to serving
- Collaborate with product compliance and operations
- Deploy compliance detection models
- Design production ML systems
- Implement ML engineering best practices
- Monitor model performance and data drift
- Optimize batch and real time inference pipelines
- Select and improve ML architectures
- Translate business requirements into model KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
Accessibility guidelines | Airflow | CI/CD | Computer Vision | Container Orchestration | Convolutional Neural Networks | Data Drift | Data Drift Detection | Deep learning | Docker | Drift Detection | Fine Tuning | Generative AI | Git | Helm | Huggingface | Hybrid retrieval | Inference Server | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | LoRA | MLOps | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | NoSQL Databases | NumPy | PEFT | PGVector | Pinecone | Prompt engineering | PyTorch | Python | QLoRA | RAG | Ray | Relational databases | Scikit-learn | Spark | Torchserve | Transformers | Triton Inference | Triton Inference Server | VLLM | Vector Databases | Weaviate | Web Content | Web Content Accessibility | Web content accessibility guidelines | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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