Sr. Engineer – Machine Learning | Dallas, TX; Onsite

Sr. Engineer – Machine Learning

Dallas, TX(Day One Onsite)

Contract

Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions

Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development

Troubleshoot and debug complex issues; identify and implement solutions

Create detailed project specifications, requirements, and estimates

Research and implement new AI technologies to enhance current processes, security, and performance

Work closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deployment.

Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment.

Monitor model performance and implement strategies for bias mitigation and explainability.

Responsible for ensuring models are scalable and efficient in production environments.

Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications.

Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions.

Bachelor’s degree in computer science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

7 to 9+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments

2+ years of professional, design, and open-source experience

Mixed-Integer Programming (MIP) modeling; formulating real-world business rules as decision variables, linear constraints, and objectives; LP/IP theory; branch-and-bound intuition.

Commercial solver experience; FICO Xpress (strongly preferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solver tuning (gaps, threads, seeds, determinism) an dreading solver logs/.lp files.

Programming to implement model & visualize model solutions;
Java (themodellives inJava behind a solver abstraction);
Python (incl. Streamlit for the dashboard); ableto code and ship changes in both programming languages.

Also required: comfortable using AI coding agents(Claude/Copilot) for fast changes; high coding standards; a collaborative team player (open toideas/feedback, no solo work);a fast learner.

MSor PhD in Operations Research/ Industrial Engineering /Applied Math (or related), plus3+years applied optimization or equivalent demonstrated MIP experience.

MS/PhD in OR /IE /Applied Math /CS-optimizationor equivalent.

Java
21 / Spring Boot familiarity; clean/hexagonal model design (ports & adapters); TDD (JUnit5) foroptimizationmodels(LP-file integration tests); scheduling/assignment/routing problem experience; heuristics/meta heuristics/CP as complements toMIP; data analysis & debugging;mining datasets (incl. AzureADLS) andsolver logs to find issues and derive insights;data wrangling (CSV/Excel/SQL);
Git/Git Hub, MongoDB Compass, Maven,Docker; aviation / MRO dom