AI Machine Learning Engineer – AI, ML, Python, Go

🕒 Julho 21

🚗 Michigan – Remoto

🚗 Michigan – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

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Benzinga

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2010

📱 Mídia

💸 Finanças

💰 $3.000.000 Venture Round em 2016-09

Media • Finance

Benzinga é uma empresa de mídia financeira que fornece notícias, dados e insights em tempo real sobre os mercados financeiros. Atendendo tanto a investidores individuais quanto a instituições, a empresa oferece ferramentas e recursos para ajudar a tomar decisões de investimento informadas. A Benzinga concentra-se em entregar informações e análises acionáveis sobre ações, opções e outros instrumentos financeiros.

Descrição

• 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 scalable delivery of AI-powered data • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads

🎯 Requisitos

• 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production • Computer science degree (Bachelor minimum) • Deep proficiency in Python (data, ML) and Go (backend, microservices) • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face • Experience with transformer architectures, embeddings, or fine-tuning LLMs • Strong understanding of data pipelines, feature extraction, and model lifecycle management • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2) • Excellent problem-solving skills and ability to work independently in a distributed environment

🏖️ Benefícios

• Fully remote, high-trust environment that rewards curiosity, speed, and execution • Build and ship production AI systems that shape how financial markets understand information • Operate with full creative freedom — explore, experiment, and execute your ideas end-to-end • Work with a lean, highly technical team where initiative and ownership are celebrated