Role: Gen AIML Expert
Location: Iselin NJ (Onsite)
Hire type: Contract
Skills: Senior lead with broad understanding of AI space and expertise in creating/ holding executive briefings.
12 years of experience with a high-level individual contributor or lead researcher responsible for architecting the core intelligence of a product
Architectural Leadership: Design and lead the development of end-to-end ML systems from data ingestion to MLOps orchestration and real-time inference.
State-of-the-Art (SOTA) Implementation: Stay ahead of the curve in Generative AI Computer Vision or NLP adapting the latest research papers into production-ready features.
Optimization & Scaling: Solve complex bottlenecks related to model latency cost-efficiency (e.g. quantization pruning) and large-scale distributed training.
Technical Mentorship: Review code and model architectures setting the standard for rigorous testing evaluation frameworks and Responsible AI practices.
Cross-Functional Strategy: Partner with Product and Engineering leads to determine the technical feasibility of moonshot AI features
1. Languages: Expert-level Python C or Java.
2. Frameworks: PyTorch TensorFlow JAX.
Role: Gen AIML Expert Location: Iselin NJ (Onsite) Hire type: Contract Detailed JD: Skills: Senior lead with broad understanding of AI space and expertise in creating/ holding executive briefings. 12 years of experience with a high-level individual contributor or lead researcher responsible ...
Role: Gen AIML Expert
Location: Iselin NJ (Onsite)
Hire type: Contract
Skills: Senior lead with broad understanding of AI space and expertise in creating/ holding executive briefings.
12 years of experience with a high-level individual contributor or lead researcher responsible for architecting the core intelligence of a product
Architectural Leadership: Design and lead the development of end-to-end ML systems from data ingestion to MLOps orchestration and real-time inference.
State-of-the-Art (SOTA) Implementation: Stay ahead of the curve in Generative AI Computer Vision or NLP adapting the latest research papers into production-ready features.
Optimization & Scaling: Solve complex bottlenecks related to model latency cost-efficiency (e.g. quantization pruning) and large-scale distributed training.
Technical Mentorship: Review code and model architectures setting the standard for rigorous testing evaluation frameworks and Responsible AI practices.
Cross-Functional Strategy: Partner with Product and Engineering leads to determine the technical feasibility of moonshot AI features
1. Languages: Expert-level Python C or Java.
2. Frameworks: PyTorch TensorFlow JAX.
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