Senior Engineer - Machine Learning

KellyMitchell Group; Fort Worth (TX); On-site; USD 108,000 - 156,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Insurance

ESOP 401K

Pay range transparency

Job summary

KellyMitchell Group is seeking a Senior Engineer - Machine Learning to advance optimization models and produce production-ready solutions from Fort Worth, TX. The role emphasizes building a robust MIP-based task assignment model with real-world business rules, and delivering a Streamlit dashboard to visualize results.

You will work with Java and Python to prototype, test, and deploy models, utilize AI coding agents for rapid iterations, and coordinate with data engineers to debug datasets and

Qualifications

• MS or PhD in Operations Research, Industrial Engineering, Applied Math, or related field.
• Bachelor's degree in CS/CE/Data Science/IS or related discipline, or equivalent experience/training.
• 7+ years of SDLC experience designing, developing, and implementing large-scale ML applications in hosted production environments.
• 3+ years of optimization or equivalent MIP experience.
• 2+ years of professional experience with Mixed-Integer Programming modeling; solver experience (FICO Xpress strongly preferred) and reading solver logs/.lp files.
• Proficiency in Java behind a solver abstraction and Python (Streamlit) for dashboards; capable of rapid prototyping with AI coding agents.

Responsibilities

• Work on the mathematical optimization model at the heart of a task assignment model with complex work rules.
• Formulate and maintain the MIP and translate business rules into solver formulations.
• Analyze data stored in Azure-ADLS to debug models, surface data quality issues, diagnose root causes, and resolve modeling bugs.
• Build and maintain a Streamlit dashboard to visualize optimizer solutions and ship changes.
• Collaborate with a Java engineer to productionize models and prototype changes with AI coding agents.

Skills

Java programming

Python programming

Streamlit dashboard

Optimization modeling

SDLC experience

AI coding agents

Education

MS/PhD in Operations Research / Industrial Engineering / Applied Math

Bachelor’s in Computer Science / Computer Engineering / Data Science / Information Systems

Tools

FICO Xpress

Gurobi

CPLEX

OR-Tools

Hexaly

Docker

Git / GitHub

Maven

Job description

Job Description

Our client, a leading travel & hospitality, provider is seeking a Senior Engineer - Machine Learning to join their team! This position is located in Fort Worth, Texas.

Core Responsibilities

• Work on the mathematical optimization model at-the-heart of a task assignment model adhering to some complex work rules


• Formulate and maintain-the-MIP


• Translate-real business-rules into formulation with planners Drive the-model-through the FICO Xpress Java API,-generate/inspect .lp files and solver-logs Tune-the solver; mip-gap, mip-abs-gap, threads,-random-seed, determinism;-reason-about branch-and-bound performance-and runtime Keep-the-model solver-agnostic behind-the LinearExpression / LinearConstraint / Sense /-Sign abstraction so-it stays-testable and portable Analyze data stored in Azure-ADLS-to-debug the-model-and find-issues;-mine input/output-datasets and-solver logs to surface-data-quality-and-infeasibility problems, derive insights, diagnose-root-causes,-and resolve modeling bugs (e.g., bad defaults,-constraint conflicts)


• Build and maintain-the Streamlit dashboard-(Python) that visualizes-optimizer solutions - code and ship changes-directly


• Work fluently with AI coding agents-(Claude-/ Copilot /-similar) to prototype and change-models, scripts,-and the-dashboard fast without lowering the bar on-correctness or-code quality Partner closely as a team-player with the Java-engineer to productionize

Required Skills/Experience (Must-Haves)

• MS-or PhD in-Operations Research-/ Industrial-Engineering /-Applied Math (or related)


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


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


• 3+-years applied-optimization or equivalent-demonstrated MIP experience


• 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) and-reading solver logs-/.lp files


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


• Comfortable-using AI coding agents-(Claude-/-Copilot) for fast-changes; high coding-standards

Preferred Skills/Experience (Nice-to-Haves)

• Java-21 / Spring-Boot familiarity


• Clean/hexagonal model design (ports & adapters)


• TDD (JUnit-5) for-optimization-models-(LP-file integration tests)


• Scheduling/assignment/routing problem experience


• Heuristics/metaheuristics/CP as complements to-MIP


• Data-analysis & debugging;-mining datasets (incl. Azure-ADLS) and-solver logs to find-issues and derive insights


• Data wrangling (CSV/Excel/SQL)


• Git/GitHub, MongoDB Compass, Maven,-Docker; aviation / MRO domain

Key Competencies & Behaviors

• Collaborative team-player


• Open to-ideas/feedback, no solo work


• Fast-learner

Work Environment

Location: Fort Worth, TX

Hybrid Compensation & Benefits

• Pay Range: The approximate pay range for this position is between $52.00 and $75.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.


• Medical, Dental, & Vision Insurance Plans


• Employee-Owned Profit Sharing (ESOP) 401K offered

About KellyMitchell

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.