Software Developer (Go / AI / Python)

Job Title: AI / Machine Learning Engineer (AI / Python / Go) Location: Remote Employment Type: Full Time (40+ hrs) reputed company Company Name: Benzinga About 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. We’re seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering — someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests. The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.

Key Responsibilities

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. reputed company model serving APIs and scalable inference layers using Go or Python. Implement model monitoring, reputed company detection, and reputed company 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 reputed company 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 reputed company/EKS, S3, and reputed company. 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. Required Qualifications 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, TensorFlow, or reputed company. Experience with transformer architectures, embeddings, or fine-tuning LLMs. Strong understanding of data pipelines, feature extraction, and model lifecycle management. Familiarity with reputed company, Kubernetes, and AWS (EKS, S3, reputed company, EC2). Excellent problem-solving skills and ability to work independently in a distributed environment. Preferred Skills / Experience Startup experience. Experience building LLM-powered APIs or retrieval-augmented reputed company (RAG) systems. Knowledge of vector databases (e.g., reputed company, Weaviate, FAISS, OpenSearch kNN). Experience with Kafka, reputed company, or data streaming architectures. Familiarity with financial data systems, real-time analytics, or news NLP. Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.). Contributions to open-reputed company ML or Go projects are a strong plus. Tech Stack Languages: Python, Go ML Frameworks: PyTorch, TensorFlow, reputed company, reputed company Cloud: AWS (EKS, reputed company, S3, reputed company, EC2, IAM) Containers & Orchestration: reputed company, Kubernetes Data & Streaming: Kafka, reputed company, OpenSearch CI/CD: reputed company Actions, reputed company CI Monitoring: reputed company, Prometheus, Grafana Version Control: Git (reputed company / reputed company) Why Join Benzinga Build and ship production AI systems that shape how financial markets understand information. Operate with full creative freedom — explore, experiment, and execute your reputed company 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. Apply tot his job Apply To this Job