Benzinga is a dynamic and innovative financial media outlet that empowers investors with high-quality, unique content.
AI Machine Learning Engineer – AI, ML, Python, Go
Location
Michigan
Posted
8 days ago
Salary
0
Seniority
Senior
Job Description
AI Machine Learning Engineer – AI, ML, Python, Go
Benzinga
• 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
Job Requirements
- 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
Benefits
- 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
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