Senior AI/ML Engineer (MLOps) – Production Forecasting

Burnt Group; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 275,000; Full time

Benefits offered by this job

Equity

Job summary

BURNT is seeking an AI/ML Engineer focused on MLOps for our on-site San Francisco office. You will own the model layer from feature engineering to deployment in a fast-growing supply chain context.

You will work on time series forecasting, ontology/knowledge graphs, and in-house LLM fine-tuning, building production-grade systems and collaborating closely with product and engineering teams to ship value.

Qualifications

• Python in production environments.
• Experience deploying ML models to production.
• Experience with AWS SageMaker and Spark.

Responsibilities

• Own MLOps end to end: model creation, deployment, iteration, monitoring, and support.
• Build time series forecasting models for production traffic.
• Fine-tune LLMs with LoRA/PEFT on our data, and build evals.
• Design ontology and knowledge graph for agents.
• Engineer data pipelines at scale with Spark.
• Architect production systems end to end and ship full stack work when needed.

Skills

Python

ML engineering

MLOps

Time series forecasting

Knowledge graph

Data pipelines

Tools

AWS SageMaker

Apache Spark

S3/Glue/Step Functions

LoRA/PEFT

Neo4j

TypeScript/React

Job description

BURNT is seeking an AI/ML Engineer focused on MLOps for our on-site San Francisco office. You will own the model layer from feature engineering to deployment in a fast-growing supply chain context.

You will work on time series forecasting, ontology/knowledge graphs, and in-house LLM fine-tuning, building production-grade systems and collaborating closely with product and engineering teams to ship value.