Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
Machine Learning
Deep Learning
Computer Vision
Image and Video Processing
PyTorch
TensorFlow/Keras
Natural Language Processing (NLP)
GenAI
State-of-the-Art (SOTA) Techniques
Video Segmentation
Object and Face Detection
Audio Processing
Text Processing
Multimodal Integration
Job Details
Job Title: ML Engineer
Work Location: San Francisco, CA ( Onsite)
Contract
Job Description :
- Custom classification detection recognition Models across stills and videos
- Custom embeddings models
- Metrics driven Model selection and evaluations
- Internal Benchmark establishment with curated dataset
- Drive dataset curation workstreams including data engineering with existing data and human labeling operations
- Implement papers on SOTA methodologies on video segmentation video
- classification object face detection
- Strong command of pytorch or tensorflowkeras
- Incorporation of Multimodal processing including audio and text
- Work with stakeholders directly to translate business problems to ML problems
- Work with legal teams on model compliance
Primary Skills: Machine Learning, Deep Learning, Computer Vision, Image and Video Processing, PyTorch, TensorFlow/Keras, Natural Language Processing (NLP), GenAI, State-of-the-Art (SOTA) Techniques, Video Segmentation, Object and Face Detection, Audio Processing, Text Processing, Multimodal Integration
Secondary Skills: Python, Dashboard Creation, AWS/ Azure/Google Cloud Platform (Google Cloud Platform), Git, GitHub, JIRA, Confluence, Slack, Jenkins, Docker.
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