AI/ML Engineer (Title Can 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.

Key Responsibilities:

• Lead the design, development, and deployment of machine learning models using frameworks such as TensorFlow, 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 GitHub Actions and Azure DevOps 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

Required Skills & Qualifications:

• 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 TensorFlow, 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 GitHub Actions or Azure DevOps
• 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

Preferred Qualifications:

• 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

Nice to Have:

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

Why Join Arch 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