Benzinga

Benzinga

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

Detroit, MI

Sponsorship not specifiedDetected 22 hours ago
PythonGoGitPostgreSQLElasticsearchVector DatabasesAWSCloud PlatformsDockerKubernetesCI/CDGitHub ActionsPrometheusGrafanaDatadogDevOpsKafkaMachine LearningTensorFlowPyTorchAirflowData EngineeringData ScienceNLP

About the role

  • We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream.

Responsibilities

  • Git (Gitlab / Github) ________________________________________ Why Join Benzinga Build and ship production AI systems that shape how financial markets understand information.

Requirements

  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.

Nice to have

  • About Benzinga Benzinga is a fast-growing financial media and data technology company reshaping how investors access information.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • 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.

Skills

  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
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This listing is sourced directly from Benzinga's careers page and normalized into a canonical job model.