Sr. Engineer – Machine Learning | Dallas, TX(Day One Onsite)

Tech Mirrors; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Tech Mirrors in Dallas, TX is seeking a Sr. Engineer – Machine Learning to design, deploy, and optimize large-scale ML solutions in production. You will collaborate with data scientists, software engineers, and product teams to move models from development to reliable services.

The role emphasizes MIP modeling, solver experience (FICO Xpress, Gurobi, or similar), and strong Python/Java coding skills for end-to-end pipelines, performance tuning, and bias mitigation in production systems.

Qualifications

• Bachelor’s degree or higher in a technical field or equivalent experience.
• 7–9+ years of SDLC experience designing, developing, and implementing large-scale ML applications in hosted production environments.
• 2+ years of professional, design, and open-source experience.

Responsibilities

• Collaborate with leaders, analysts, PMs, IT architects, and engineers to understand requirements for AI solutions.
• Maintain and enhance enterprise services and platforms using domain-driven design and TDD.
• Research and implement new AI technologies to improve security and performance.
• Build and deploy ML models with data scientists and product teams.
• Develop Python-based ML pipelines for data preprocessing, training, and deployment.
• Monitor model performance; mitigate bias and ensure explainability.

Skills

MIP modeling

Solver experience

Java

Python

Team player

Fast learner

Education

MS/PhD in OR/IE/Applied Math/CS-optimization

Tools

FICO Xpress

Gurobi

CPLEX

OR-Tools

Hexaly

Streamlit

Docker

Git

MongoDB

Maven

Job description

Sr. Engineer – Machine Learning

Dallas, TX(Day One Onsite)

Contract

Description:

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.

Minimum Qualifications – Education & Prior Job Experience:

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

Top Requirements:

Mixed-Integer Programming (MIP)modeling; formulatingreal-world businessrules asdecision variables, linearconstraints, andobjectives; LP/IP theory; branch-and-bound intuition.

Commercial solverexperience; FICO Xpress (stronglypreferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solvertuning (gaps, threads, seeds, determinism) andreading solver logs/.lp files.

Programming to implement model & visualizemodel solutions; Java (themodellives inJava behind a solverabstraction); Python (incl. Streamlit for thedashboard); ableto code and ship changes in both programming languages.

Also required: comfortableusing AI coding agents(Claude/Copilot) for fastchanges; high codingstandards; a collaborative teamplayer (open toideas/feedback, no solo work);a fastlearner.

MSor PhD inOperations Research/ IndustrialEngineering /Applied Math (or related), plus3+years appliedoptimization or equivalentdemonstrated MIP experience.

Education:

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

Nice To Have:

Java21 / SpringBoot familiarity; clean/hexagonal model design (ports & adapters); TDD (JUnit5) foroptimizationmodels(LP-file integration tests); scheduling/assignment/routing problem experience; heuristics/metaheuristics/CP as complements toMIP; dataanalysis & debugging;mining datasets (incl. AzureADLS) andsolver logs to findissues and derive insights;data wrangling (CSV/Excel/SQL); Git/GitHub, MongoDB Compass, Maven,Docker; aviation / MRO dom