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

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Engage in AI / Machine Learning research, designing and deploying machine learning models across the domains of NLP, time-series forecasting, and event detection.

• Create LLM-driven systems (such as summarization, RAG pipelines, and embedding search) tailored for financial news and quantitative data.

• Develop model serving APIs and scalable inference layers utilizing Go or Python.

• Implement monitoring for models, drift detection, and pipelines for continuous retraining.

• Analyze financial text (including earnings call transcripts, filings, and news) to extract structured insights.

• Collaborate with data engineers to construct training datasets, feature stores, and embedding databases.

• Backend & Infrastructure Develop and sustain high-performance microservices in Python or Go that integrate with AI systems and Go data APIs.

• Design and enhance real-time inference pipelines on AWS, utilizing ECS/EKS, S3, and Lambda.

• Ensure the low-latency, fault-tolerant, and scalable delivery of AI-powered data.

• Implement CI/CD for machine learning workflows, covering containerization, automated deployment, and versioning.

• Partner with DevOps to oversee cloud infrastructure and guarantee robust observability for AI workloads.

⛳️ Requirements

• A minimum of 4 years of experience in AI/ML or data engineering roles, demonstrating a successful history of deploying ML models in production.

• A degree in computer science (Bachelor's minimum).

• In-depth proficiency in Python (data, ML) and Go (backend, microservices).

• Practical experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.

• Familiarity with transformer architectures, embeddings, or fine-tuning of LLMs.

• Strong comprehension of data pipelines, feature extraction, and model lifecycle management.

• Knowledge of Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).

• Exceptional problem-solving abilities and capability to work independently within a distributed environment.

🏝️ Benefits

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

• Build and launch production AI systems that transform how financial markets interpret information.

• Operate with complete creative freedom—explore, experiment, and execute your ideas from start to finish.

• Collaborate with a lean, highly technical team where initiative and ownership are recognized and celebrated.