Machine Learning Engineer

Sansutek Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
Microsoft Excel
Artificial Intelligence
Information Systems
Computer Programming
Computer Engineering
IBM ILOG CPLEX Optimization Studio (CPLEX)
Software Debugging
Integer Programming
JUnit
Python
Machine Learning
Maven
MongoDB
Open Source Technology
Software Engineering
SQL Databases
Data Processing
Test Driven Development
Spring-boot
Integration Tests
Information Technology
Machine Learning Operations
Streamlit Framework
Domain Driven Design
Docker
Programming Languages

Job 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.

Requirements

  1. Mixed-Integer Programming (MIP)modeling; formulatingreal-world businessrules asdecision variables, linearconstraints, andobjectives; LP/IP theory; branch-and-bound intuition.
  2. Commercial solverexperience; FICO Xpress (stronglypreferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solvertuning (gaps, threads, seeds, determinism) andreading solver logs/.lp files.
  3. 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.

  1. 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 domain., 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

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