AI​/ML Engineer; Title Be Discussed

Job Summary

Arch Systems is seeking a highly skilled, hands‑on AI/ML Leader with at least 5 years of experience designing, building, and deploying scalable machine learning solutions. This role is ideal for a technical leader who can both set direction and contribute directly to execution. The right candidate will have strong experience developing ML models, building modern data pipelines, deploying production‑grade AI systems, and mentoring teams in cloud and containerized environments.

This individual will play a key role in shaping and delivering AI/ML solutions that are scalable, secure, and aligned with business and customer needs. We are looking for someone who is comfortable rolling up their sleeves, solving technical challenges, and leading cross‑functional collaboration from concept through deployment.

• Lead the design, development, and deployment of machine learning models using frameworks such as Tensor Flow, PyTorch, and scikit‑learn
• Serve as a hands‑on technical leader, contributing directly to architecture, coding, model development, deployment, and troubleshooting
• Build and maintain scalable data pipelines using Apache Kafka, REST APIs, and SFTP for real‑time and batch data ingestion
• Perform data preprocessing, profiling, and synthetic data generation using tools such as SDV, Faker, and pandas‑profiling
• Implement robust data quality and validation frameworks using Great Expectations and Deequ
• Develop and deploy RESTful APIs for ML model serving using FastAPI and Spring Boot
• Containerize applications using Docker and orchestrate deployments with Kubernetes and Oracle Kubernetes Engine (OKE)
• Manage cloud infrastructure and deployments on Oracle Cloud Infrastructure (OCI)
• Build and maintain CI/CD pipelines using Git Hub Actions and Azure Dev Ops for automated testing and deployment
• Develop interactive dashboards and visualizations using Dash, Plotly, and React
• Ensure security and compliance with standards such as NIST SP 800‑53, FIPS 140‑2, DISA STIGs, and RMF
• Collaborate closely with data engineers, software developers, and stakeholders to deliver scalable AI/ML solutions
• Mentor team members, establish engineering best practices, and help grow AI/ML capabilities across the organization

• At least 5 years of hands‑on experience designing, building, and deploying AI/ML solutions in production environments
• Strong programming experience in Python and/or Java
• Hands‑on experience with ML libraries such as Tensor Flow, PyTorch, scikit‑learn, and PyOD
• Experience with model explainability tools such as SHAP
• Solid understanding of data preprocessing, feature engineering, model evaluation, and production model deployment
• Experience building and consuming REST APIs
• Familiarity with containerization using Docker and orchestration using Kubernetes
• Experience with streaming and data ingestion tools such as Apache Kafka
• Knowledge of data validation and quality frameworks such as Great Expectations and Deequ
• Experience with cloud platforms, preferably OCI
• Familiarity with CI/CD tools such as Git Hub Actions or Azure Dev Ops
• Understanding of JSON and YAML for data and configuration handling
• Demonstrated ability to lead technical efforts while remaining deeply involved in hands‑on delivery
• Strong communication and collaboration skills with the ability to work across technical and business teams

• Experience with Oracle Kubernetes Engine (OKE)
• Exposure to synthetic data generation techniques
• Experience working in regulated environments such as federal, financial, or healthcare
• Knowledge of security compliance frameworks including NIST, RMF, FIPS, and DISA STIGs
• Experience building data visualization dashboards using Plotly, Dash, or React

• Experience with anomaly detection techniques
• Knowledge of MLOps best practices and model lifecycle management
• Familiarity with scalable distributed systems

• Opportunity to lead meaningful AI/ML initiatives
• Work with modern tools, platforms, and cloud technologies
• Help shape innovative, scalable solutions in a collaborative environment
• Join a team that values builders, problem‑solvers, and hands‑on leaders