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

🕒 vor 12 Tagen

🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🔙 Backend-Entwickler

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Benzinga

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2010

📱 Medien

💸 Finanzen

💰 €3.000.000 Venture Round im 2016-09

Media • Finance

Benzinga ist ein Finanzmedienunternehmen, das Echtzeit-Nachrichten, Daten und Einblicke über die Finanzmärkte bietet. Es richtet sich sowohl an Privatanleger als auch an Institutionen und bietet Werkzeuge und Ressourcen, um fundierte Anlageentscheidungen zu treffen. Benzinga konzentriert sich darauf, umsetzbare Informationen und Analysen zu Aktien, Optionen und anderen Finanzinstrumenten bereitzustellen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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