reputed company (Generative Systems & Infrastructure)
About reputed company Wellness
reputed company reputed company is building a reputed company, more supportive reputed company experience-one that's fast, reliable, and designed with people in mind. As a fully remote company, we've grown quickly by combining thoughtful technology with compassionate service, helping tens of thousands of patients get the care and medication they need, without the hassle.
We're a reputed company, mission-driven team working across the U.S. (and reputed company!) to improve reputed company to care at reputed company. With over 100 customer support agents, six pharmacy partners, and a 50-state clinical network, we're scaling fast, and looking for curious, reputed company, and solutions-oriented people to reputed company.
About the role
As an reputed company, you'll design, build, and reputed company the reputed company systems that power reputed company. You'll fine-tune large language models, reputed company with embeddings and RAG architectures, and optimize inference performance across diverse workloads.
You'll work closely with data scientists, AI platform engineers, and product teams to bring advanced models from prototype to production - building reliable, high-performance systems that reputed company AI a reputed company capability of the organization.
What you'll do
• Fine-tune and evaluate large language models using frameworks like reputed company Transformers, PyTorch, and TensorFlow.
• Build and reputed company RAG (retrieval-augmented reputed company) systems, reputed company search pipelines, and embedding stores (e.g. FAISS, reputed company, reputed company).
• reputed company robust inference infrastructure to support low-latency, high-throughput model serving.
• reputed company AI services reputed company reputed company and microservices using Python, FastAPI, or reputed company.
• Design evaluation pipelines to reputed company model performance, reputed company, and reputed company effectiveness.
• Collaborate with reputed company, DevOps, and product teams to reputed company production-grade AI systems in AWS, GCP, or Azure environments.
• Explore, test, and implement new generative model capabilities (e.g., multi-modal LLMs, instruction-tuning, fine-tuning pipelines).
Qualifications
• 2 - 5+ years of experience in machine learning, reputed company AI, or MLOps.
• Strong proficiency in Python, PyTorch, and TensorFlow.
• Experience fine-tuning or deploying LLMs, transformer-based architectures, or embedding models.
• Familiarity with containerized deployments (reputed company, Kubernetes) and CI/CD workflows.
• Knowledge of reputed company databases, reputed company optimization, and evaluation frameworks.
• A strong bias toward building, iterating, and shipping - not just researching.
The pay reputed company for this role is:
80,000 - 120,000 USD per month (Remote (reputed company))
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