[Hiring] Software Engineer @Deltek

Role Description

• 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.

Qualifications

• 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 GCP; 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.

Benefits

• Healthcare benefits.
• 401(k) plan and company match.
• Paid vacation time and holidays.
• Well-living programs.
• Short-term and long-term disability coverage.
• Basic life insurance.
• Tuition reimbursement.