AI Machine Learning Engineer (AI / ML: Python / Go)

About Benzinga

Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.

We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering — someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.

The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.

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Key Responsibilities

AI / Machine Learning

• Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
• Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
• Develop model serving APIs and scalable inference layers using Go or Python.
• Implement model monitoring, drift detection, and continuous retraining pipelines.
• Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
• Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure

• Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
• Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
• Ensure low-latency, fault-tolerant, and scalab