Senior AI Engineer

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

📋 Description

• Design, develop, train, and refine sophisticated machine learning models utilizing both deep learning and traditional techniques.

• Deploy models primarily on the Google Cloud Platform.

• Take ownership of the complete model deployment process on Vertex AI, GKE, and Cloud Run.

• Construct and sustain MLOps pipelines for automated training, testing, versioning, and CI/CD.

• Design and create agentic AI systems alongside multi-agent workflows.

• Write clean, tested, and production-ready code in Python and C#.

• Engage in code reviews, team ceremonies, sprint planning, and continuous process enhancement.

• Analyze and optimize training and inference speed and costs.

• Create technical user stories that encompass the ML development lifecycle.

• Collaborate with Data Engineering on data infrastructure, feature development, and pipelines.

• Work with DevOps and Cloud teams to ensure reliable and cost-effective ML solutions.

• Collaborate with product owners and stakeholders on technical solutions and strategic roadmaps.

• Implement monitoring dashboards for model drift, accuracy, latency, and cost.

• Identify, develop, and validate features aimed at enhancing model performance and generalization.

• Mentor engineers and provide technical leadership in architectural decisions.

⛳️ Requirements

• Extensive hands-on experience with Google Cloud Platform for ML, including Vertex AI, BigQuery, Cloud Run, GKE, and Cloud Build.

• Strong expertise in Python and C#.

• Profound experience with TensorFlow, PyTorch, and scikit-learn.

• Familiarity with Google ADK, AutoGen, LangChain, LlamaIndex, and Gemini/Vertex AI foundation models.

• Understanding of distributed training and model serving architectures.

• Experience with MLOps tools like Vertex AI Pipelines, MLflow, DVC, and Kubeflow.

• Proficiency with Docker and Kubernetes/GKE.

• Direct experience in deploying ML solutions on Google Cloud; Vertex AI experience is essential.

• Strong grounding in machine learning, statistics, and optimization.

• Proficiency in SQL, BigQuery, Pandas, Dataflow/Apache Beam, and Spark.

• Understanding of agile methodologies.

• Exceptional communication, collaboration, and technical leadership abilities.

• Capacity to mentor and guide engineers.

• Strong software engineering principles, including coding standards, code reviews, source control, testing, and operations.

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.

• Over 5 years of experience in machine learning engineering.

• Demonstrated success in deploying at least 2–3 significant ML models into high-availability production systems.

• Must possess authorization to work in the United States.

🏝️ Benefits

• Reasonable accommodations for individuals with disabilities during the application process and while performing essential job functions.

• Equal opportunity employment.