AI/ML Engineer RFP Radar

Open Position Summary – Senior Software Engineer OMNIA Partners is a leading purchasing organization delivering scale and value‑driven solutions across public and private sector markets. We are leveraging AI and data‑driven technologies to enhance business operations and customer insights. We are hiring a Senior Software Engineer to lead the design and building of next‑generation data‑driven products, bridging the gap between data science concepts and robust software engineering. Location Franklin, TN Candidate Eligibility Candidates must be legally authorized to work in the U.S. without sponsorship, now and in the future. Position Responsibilities: System Architecture & Scaling: Lead the architectural design and implementation of complex backend systems, maturing early‑stage concepts into resilient, high‑load production environments. Intelligent Data Acquisition: Develop strategies and systems for acquiring large volumes of unstructured data from external sources, ensuring high quality and reliability. Applied AI/ML Integration: Design pipelines that integrate practical AI/ML models (e.g., text classification, NLP, scoring algorithms) to automate decision‑making and enrich data streams. Data Pipeline Engineering: Build high‑throughput data pipelines that ingest, validate, process, and route data efficiently to downstream applications, data warehouses, and third‑party ecosystems. Database Strategy: Optimize storage and retrieval strategies for large‑scale datasets across relational databases and modern data warehouses. Technology Evaluation: Act as a technical leader, staying current with emerging tools in data engineering and applied AI, and recommending adoption to enhance capabilities. Required Education and Skills: Software Engineering Foundations: 5+ years of backend software engineering experience with a strong track record of building data‑intensive applications. Python Proficiency: Expert‑level proficiency in Python for system building and data processing. Handling Unstructured Data: Demonstrated experience building systems that ingest and structure messy or complex external data sources at scale. Applied Machine Learning: Practical experience integrating ML into production workflows using standard libraries such as scikit‑learn or spaCy for classification, entity extraction, or scoring. Database Expertise: Strong understanding of data modeling and performance tuning in relational databases and cloud data warehouses (preferably Snowflake). API & Integration: Deep experience designing and consuming complex APIs to connect internal services with third‑party data providers. Cloud‑Native Mindset: Experience building and deploying applications in cloud environments (AWS, GCP, or Azure). Preferred Qualifications: Experience with containerized deployments (Docker/Kubernetes) and orchestration tools such as Airflow or Celery. Bachelor’s or master’s degree in computer science or a related technical field. Equal Employment Opportunity OMNIA Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #J-18808-Ljbffr OMNIA Partners, Inc.