Senior ML Engineer is a Machine Learning Engineer role (full-time). with Invoca. in REMOTE, WORLDWIDE. Compensation shown: $152K–$228K. Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
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Imported job description
Sourced from flexgen.zya.me
Invoca is hiring a Senior ML Engineer to own the productionization layer of their ML stack, including model serving, inference optimization, fine-tuning, and APIs. You'll drive infrastructure for their Context Engine and agentic AI workflows, collaborating with Data Scientists and Engineers.
Responsibilities
Architect and maintain CI/CD pipelines for ML artifacts including model evaluation, versioning, and automated deployment.
Own inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure.
Profile and tune for low latency and high throughput, build robust APIs for model access.
Fine-tune language models using LoRA, QLoRA, PEFT for NLP applications.
Contribute to model training infrastructure, data pipelines, and data lake foundations.
Requirements
5+ years of ML Engineering experience with strong production focus.
Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy).
Track record deploying transformer-based NLP models in production.
Hands-on experience fine-tuning SLMs/LLMs and optimizing via quantization, batching.
Invoca is an AI-powered revenue execution and conversation intelligence platform that helps marketing, commerce, and contact center teams connect digital and offline buyer journeys. Its technology analyzes conversations to turn interactions into actionable data, helping businesses increase lead conversion and optimize marketing spend.