Software Developer; Go​/AI​/Python

Job Title

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

Remote

Full Time (40+ hrs) Independent Contractor

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.

• 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.

• 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 Dev Ops to manage cloud infrastructure and ensure robust observability for AI workloads.

• 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
• Deep proficiency in Python (data, ML) and Go (backend, microservices).
• Hands-on experience with ML frameworks such as PyTorch, Tensor Flow, 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.

• Startup experience.
• Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
• Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, Open Search kNN).
• Experience with Kafka, Lang Chain, or data streaming architectures.
• Familiarity with financial data systems, real-time analytics, or news NLP.
• Exposure to MLOps tools (MLflow, Bento
  
  ML, Sage Maker, Airflow, etc.).
• Contributions to open-source ML or Go projects are a strong plus.

• Languages:
  
  Python, Go
• ML Frameworks:
  PyTorch, Tensor Flow, Hugging Face, Lang Chain
• Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
• Containers & Orchestration:
  Docker, Kubernetes
• Data & Streaming:
  Kafka, Postgres, Open Search
• CI/CD:
  Git Hub Actions, Git Lab CI
• Monitoring:
  Datadog, Prometheus, Grafana
• Version Control:
  Git (Gitlab / Github)

• 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.
• Fully remote, high-trust environment that rewards curiosity, speed, and execution.