AI/ML Engineer RFP Radar

OMNIA Partners • Franklin, TN

2d • Onsite

About The Position

OMNIA Partners is a leading purchasing organization focused on leveraging AI and data-driven solutions to enhance business operations and customer insights. The company is committed to using cutting-edge AI/ML capabilities to improve data quality, automation, and overall efficiency. This role involves designing and building the next generation of data-driven products, bridging the gap between data science concepts and robust software engineering. The Senior Software Engineer will be responsible for architecting innovative ideas into scalable, production-grade systems that drive business impact. The primary focus will be on building intelligent automation engines to ingest unstructured data, make autonomous decisions using AI/ML, and route actionable intelligence to sales teams and partners. The engineer will work closely with senior leadership to define technical strategy and collaborate with a team of engineers and architects.

Requirements

• 5+ years of backend software engineering experience, with a strong track record of building data-intensive applications.
• Expert-level proficiency in Python, with experience using it for both system building and data processing.
• Demonstrated experience building systems that interact with, ingest and structure messy or complex external data sources at scale.
• Practical experience integrating Machine Learning into production software workflows. Must know how to apply standard ML libraries (e.g., scikit-learn, spaCy, or similar) to solve practical problems like classification, entities extraction or scoring.
• Strong understanding of data modeling and performance tuning in relational databases and cloud data warehouses (preferably Snowflake).
• Deep experience designing and consuming complex APIs to connect internal services with third-party data providers.
• Experience building and deploying applications in cloud environments (AWS, GCP or Azure).

Nice To Haves

• Experience with containerized deployments (Docker/Kubernetes) and modern orchestration tools (e.g., Airflow, Celery).
• Bachelor’s or master’s degree in computer science or a related technical field.

Responsibilities

• Lead the architectural design and implementation of complex backend systems, taking early-stage concepts and maturing them into resilient, high-load production environments.
• Develop robust strategies and systems for acquiring large volumes of data from diverse, often unstructured external sources, ensuring high data quality and reliability.
• Design pipelines that integrate practical AI/ML models (such as text classification, NLP or scoring algorithms) to automate complex decision-making processes and enrich incoming data streams.
• Build high-throughput data pipelines that ingest, validate, process and route data efficiently to downstream applications, data warehouses and third-party ecosystems.
• Optimize data storage and retrieval strategies for large-scale datasets across both relational databases and modern data warehouses.
• Act as a technical leader by staying current with emerging tools in data engineering and applied AI, recommending adoption where it enhances our capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree