What are the responsibilities and job description for the Senior Engineer - Machine Learning position at KellyMitchell Group?
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
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.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy
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
- 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
- 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
- Collaborative team-player
- Open to-ideas/feedback, no solo work
- Fast-learner
- Location: Fort Worth, TX
- Hybrid
- 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
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.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy
Salary : $52 - $75