ML/AI Engineer

• Develop and deploy machine learning models for classification, regression, forecasting, and NLP tasks using production-grade code and best practices
• Build data pipelines for ML model training and inference; work with structured and unstructured data from multiple enterprise systems
• Implement model training workflows including data preprocessing, feature engineering, hyperparameter tuning, and model evaluation
• Create production-ready ML services with RESTful APIs that can be consumed by web and mobile applications; ensure proper error handling, logging, and monitoring
• Work with large-scale datasets from enterprise ERP systems; process time-series data, transactional data, and unstructured documents
• Collaborate with data scientists to productionize research models; optimize models for latency, throughput, and cost
• Participate in code reviews and contribute to team’s ML engineering practices; document solutions and share knowledge with team members
• Support deployed models including troubleshooting, performance optimization, and implementing improvements based on production metrics

• 2-4 years of ML engineering experience with hands-on model development and production deployment
• Strong Python programming: Experience with scikit-learn, pandas, numpy; familiarity with PyTorch or TensorFlow
• ML fundamentals: Solid understanding of supervised/unsupervised learning, model evaluation, cross-validation, and feature engineering
• API development: Experience building RESTful APIs (Flask, FastAPI, or similar); understanding of microservices architecture
• Data processing: SQL proficiency; experience with data pipelines, ETL processes, and working with databases (PostgreSQL, MySQL, or similar)
• Cloud platforms: Working knowledge of AWS, Azure, or Google Cloud Platform; experience with cloud storage, compute, and managed ML services
• Version control and collaboration: Git workflows, agile methodologies, working in cross-functional teams
• Bonus: Exposure to NLP techniques, LLMs, embedding models, or vector databases; experience in B2B SaaS environments
• Education: BS in Computer Science, Data Science, Mathematics, or related technical field

The U.S. salary range for this position is $63,500.00-$111,750.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.

Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement.