Lead the commercial growth of TensorOps by building strategic relationships with AWS account managers and field teams to generate a pipeline of AI opportunities. Manage the full sales cycle from discovery and proposal to contract negotiation and post-signature account management.
TensorOps
5 Remote Job Openings at TensorOps
Fine-tune large language models for domain-specific tasks using parameter-efficient techniques like LoRA. Optimize training for cost and performance while deploying models for inference on GPU cloud infrastructure.
Define and execute the go-to-market strategy to position AI engineering services and refine ideal customer profiles. Lead top-of-funnel growth and pipeline generation by creating technical content that resonates with engineering leaders.
The role involves delivering AI and ML projects rapidly under the mentorship of senior engineers. Responsibilities include building generative AI applications, traditional ML models, and improving MLOps pipelines.
Design and deploy scalable, production-ready ML and GenAI systems while taking ownership of key project components. Collaborate with international clients to implement technical solutions and mentor junior team members.
