Ml Inference Jobs in Burlington, NJ (NOW HIRING)

Responsibilities : • Contribute to building AI/ML & Analytics platform, services, and tools across dev, test, and prod environments to accelerate model training, inference, and deployment. • ...

Optimize model selection, prompt size, token usage, batching, caching, inference frequency, and ... or ML engineering. * Experience with the below tech stack is required: * Python (advanced ...

You will work on inference workloads where latency, throughput, reliability, and hardware ... Solid understanding of modern ML frameworks such as PyTorch, including model execution, export ...

* Design end-to-end AI/ML architecture including data ingestion, model training, inference, and monitoring systems * Define technical standards, best practices, and governance frameworks for AI/ML ...

Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). A successful candidate would possess ...

Strong experience with Python for AI/ML and backend development * Hands-on experience with open-source LLM deployment (Llama 3, Mistral, Mixtral) * Experience with CPU-based inference and ...

Responsibilities : • Build scalable AI/ML systems; including data pipelines; model training workflows; and inference services. • Evaluate and integrate open‐source and commercial LLMs (e.g.

This role is heavily focused on econometric modeling, time series analysis, and causal inference ... Exposure to ML pipelines and MLOps concepts

End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers * Turning ...

... ML systems in production. * Define and enforce secure-by-design standards for model development, training data handling, inference APIs, and GenAI integrations. * Architect defenses against AI ...

... ML systems in production. * Define and enforce secure-by-design standards for model development, training data handling, inference APIs, and GenAI integrations. * Architect defenses against AI ...

... ML systems in production. * Define and enforce secure-by-design standards for model development, training data handling, inference APIs, and GenAI integrations. * Architect defenses against AI ...

End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced, messy real-world data; calibration and explainability for non-technical consumers * Turning ...

Build scalable AI/ML systems; including data pipelines; model training workflows; and inference services. * Evaluate and integrate open‑source and commercial LLMs (e.g.; GPT; Llama; Claude; Mistral)

Develop practical ML models that balance predictive performance, explainability, stability ... Help define data pipelines, feature pipelines, inference flows, model outputs, feedback loops, and ...

Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...

On-device or edge inference; WebRTC/RTSP ingest; FFmpeg/GStreamer pipelines.* Experience in regulated or high-assurance environments (FedRAMP/HIPAA/CJIS) and privacy-preserving ML.## **Values*** **No ...

Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...

Demonstrate strong expertise in designing and executing A/B tests, analyzing experiments, and troubleshooting ML model behavior. Conduct causal inference studies and exploratory analyses to measure ...

Demonstrate strong expertise in designing and executing A/B tests, analyzing experiments, and troubleshooting ML model behavior. Conduct causal inference studies and exploratory analyses to measure ...