Machine Learning Engineer
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 9, 2026.
Join our team as a Machine Learning Engineer, where you will develop and implement machine learning models to address business challenges. You will conduct data analysis, feature engineering, and model selection to optimize performance, and deploy machine learning models into production systems for real-time applications. You will collaborate with software engineers to integrate models into existing infrastructure and monitor model performance in production. Strong programming skills in Python and Pyspark, as well as experience in developing and deploying machine learning models in production environments, are required.
Missions
- Develop and implement machine learning models to address business challenges, including conducting data analysis, feature engineering, and model selection.
- Deploy machine learning models into production systems for real-time applications, serving models via API deployment as scalable microservices.
- Collaborate with software engineers to integrate models into existing infrastructure, monitor model performance in production, and iterate to improve evaluation metrics.
Profil recherché
- Strong understanding of data manipulation, statistical analysis, and machine learning algorithms (MLlib, Scikit-learn, TensorFlow/Pytorch, MLflow)- Excellent communication skills and ability to work in a collaborative team environment
- Expert in programming languages such as Python and Pyspark
- Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration, including multimodal retrieval systems/architecture
- 7+ years of industry experience
- Proven experience in developing and deploying machine learning models in production environments
- Proven organizational and project management skills
- Knowledge of API deployment and model serving, including containerization and orchestration with Kubernetes and Azure Kubernetes Service (AKS)
- Master's in Computer Science, Statistics, Mathematics, or related field
- Experienced with recommender systems at scale
- Familiarity with event-driven architecture and hands-on experience with serving ML models as microservices
- Experienced in working on high-load, real-time AI solution
- Experience with a programming language such as Java or Kotlin