Sr Software Engineer

03-Dec-2025

US Remote

10574

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work.

Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress.

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry.

• Design and implement production ML systems for enterprise SaaS applications serving government contracting, architecture & engineering, and construction industries
• Build end-to-end ML pipelines on cloud infrastructure (Oracle Cloud/AWS/Azure), from data ingestion through model deployment and monitoring
• Fine-tune large language models using QLoRA/LoRA techniques on domain-specific datasets; develop and deploy specialized AI agents for compliance, document processing, and predictive analytics
• Architect MLOps infrastructure including CI/CD pipelines for models, A/B testing frameworks, model monitoring, and automated retraining systems
• Lead technical initiatives across data science and engineering teams; establish ML best practices and guide architecture decisions
• Deploy models at scale using Kubernetes, containerization, and microservices patterns; ensure sub-second latency for production APIs consumed by multiple product teams
• Collaborate with product and engineering to translate business requirements into technical ML solutions; work with cross‑functional teams on integration patterns
• Implement RAG systems using vector databases for retrieval‑augmented generation; build semantic search and document intelligence capabilities

• 5+ years of ML/AI experience with proven track record deploying production ML systems; experience in enterprise SaaS or regulated industries preferred
• Deep learning expertise
  :
  Hands‑on experience with PyTorch/Tensor Flow, transformer architectures, LLM fine‑tuning, and deploying models in production
• Programming proficiency
  :
  Expert Python; strong software engineering skills including design patterns, testing, and code quality practices
• Cloud ML platforms
  :
  Experience with cloud ML services (AWS Sage Maker, Azure ML, Google Vertex AI, or Oracle Cloud);
  Kubernetes, Docker
• ML frameworks and tools
  : MLflow, Lang Chain, Auto Gen, or similar agent frameworks; experience with vector databases for semantic search
• MLOps practices
  : CI/CD for ML, model monitoring, drift detection, A/B testing, and production model lifecycle management
• Data engineering fundamentals
  :
  Understanding of data pipelines, ETL/ELT, streaming (Kafka), and data quality practices
• Bonus
  :
  Experience with compliance-heavy industries (government, healthcare, finance); understanding of FAR/DFARS, DCAA, or similar regulations
• Education
  : MS/PhD in Computer Science, Machine Learning, or related field preferred; BS with equivalent experience considered

The U.S. salary range for this position is $68,500.00 - $. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location,…