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AI Solutions Engineer, Post Sales (AI Engineering)
165 000 - 242 000$
Описание вакансии
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TL;DR
AI Solutions Engineer, Post Sales (AI Engineering): Enabling customers to implement and scale ML pipelines and agentic workflows using Weights & Biases with an accent on smooth onboarding and adoption. Focus on optimizing workflows and influencing our product roadmap based on real-world customer feedback.
Location: Livingston, NJ / New York, NY / Philadelphia, PA. While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office.
Salary: $165,000 to $242,000
Company
is The Essential Cloud for AI™ delivering a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.
What you will do
- Partner with Sales, Support, Product, and Engineering to lead technical success after the sales process.
- Collaborate with engineering teams to ensure smooth onboarding and adoption.
- Act as a trusted advisor on best practices.
- Represent the voice of the customer internally.
- Partner directly with leading AI teams to optimize workflows.
- Share technical expertise and influence our product roadmap based on real-world customer feedback.
Requirements
- 3–5 years of relevant experience in a similar role.
- Strong programming proficiency in Python.
- Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT).
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate).
- Strong experience with Linux/Unix.
Nice to have
- Background in robotics.
- TypeScript experience.
- Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM.
- Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes.
- Familiarity with data pipeline tools.
Culture & Benefits
- Medical, dental, and vision insurance - 100% paid for by .
- Flexible PTO.
- Catered lunch each day in our office and data center locations.
- A casual work environment.
- A work culture focused on innovative disruption.
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