Location: Dallas (DFW Metroplex)
Experience: 2–5 years
About Optym
Optym is a leading provider of decision automation and optimization software products for transportation and logistics companies. Optym’s products solve some of the most challenging decision problems faced by world’s leading airlines, trucking and railroads companies using cutting-edge optimization techniques. With its headquarters located in Dallas, Texas, and branches in four countries, Optym has over 250 highly qualified professionals and is rapidly growing. Optym offers competitive compensation and a great benefits package. Learn more about Optym and its culture at www.optym.com.
Role Overview
In this role, you will design, develop, and deploy AI/ML solutions from classical ML to LLM/RAG pipelines and integrate them into scalable backend systems used in production by global clients. You will collaborate with OR scientists, backend engineers, and product managers to build reliable, high-performance AI components that augment our scheduling, forecasting, and decision-support products.
This role is ideal for someone who enjoys building AI systems end-to-end: data → models → infrastructure → production.
Key Responsibilities
- Develop, train, evaluate, and deploy ML and GenAI models (classical ML, deep learning, LLMs, RAG systems) for forecasting, classification, anomaly detection, and decision support.
- Build backend services and APIs that integrate ML models into Optym’s optimization platforms.
- Implement scalable infrastructure for model serving, inference pipelines, and workflow orchestration (CI/CD for ML systems).
- Design and maintain data pipelines for feature engineering, preprocessing, and real-time/near-real-time model inputs.
- Collaborate with OR scientists to combine ML models with optimization logic and domain constraints.
- Optimize performance, latency, and cost of ML workloads across compute, storage, and networking layers.
- Establish frameworks for model evaluation, monitoring, retraining, and reliability (data-first and evaluation-first mindset).
- Contribute to internal best practices, reusable AI components, tooling, and MLOps workflows.
- Participate in code reviews, architecture discussions, and continuous integration/deployment processes.
Required Qualifications
- BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- 2-5+ years of experience in building AI/ML or data-driven software systems.
- Strong programming experience in Python (or C# for backend components).
- Hands-on experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and modern GenAI tooling (e.g., HuggingFace, LLM serving stacks, RAG frameworks).
- Familiarity with backend development: APIs (FastAPI, Flask), microservices, distributed systems, data serialization, testing, etc.
- Experience with ML infrastructure and toolchains: MLflow, Ray, Airflow, Kubernetes, cloud platforms (AWS/Azure/GCP), containerization.
- Strong foundation in software engineering best practices (modular design, profiling, packaging, CI/CD).
- Solid understanding of ML evaluation, dataset curation, feature engineering, and model monitoring.
Preferred Qualifications
- Experience integrating ML and optimization/OR-based algorithms.
- Experience with large-scale training or inference pipelines, vector databases, or embedding systems (FAISS, Weaviate, Chroma).
- Knowledge of LLM concepts like context windows, KV cache behavior, fine-tuning, and RAG optimization.
- Contributions to AI/ML infrastructure or open-source tools.
- Experience in airline, logistics, transportation, or scheduling domains is a strong plus.
Why Join Optym
- Work on high-impact problems for global clients.
- Collaborate with world-class experts in optimization and AI.
- Opportunity to see your algorithms deployed at scale in real operations.
- Innovative culture, flexible environment, and strong growth potential.
We follow a hybrid model where we work from office on Tuesdays, Wednesdays and Thursdays. Please send your resumes to monika.sarawagi@optym.com
