This Machine Learning Engineer role focuses on building and improving machine learning solutions through applied work in supervised and unsupervised learning, model training and tuning, and feature pipelines. At the mid level, the position contributes directly to the development of practical ML systems and supports the effectiveness of models used in production-oriented environments.
• Supervised/unsupervised learning — target L6 (Prof), must-have • model training & tuning — target L6 (Prof), must-have • feature pipelines — target L6 (Prof), must-have • model deployment & servin — target L6 (Prof), nice-to-have • data structures & algorithm — target L6 (Prof), nice-to-have • version control for models — target L6 (Prof), nice-to-have • Working AI leverage — observed and scored, never assumed • 2–6 years of relevant experience
Design, train, and tune machine learning models using supervised and unsupervised learning approaches. Build and maintain feature pipelines that support model development and performance. Contribute to the ongoing improvement of ML workflows and, where applicable, support model deployment & servin and model version control practices.
this position is for US based clients.
This role offers the opportunity to work directly on core machine learning tasks that shape how models are built, tuned, and supported by feature pipelines. It is a focused mid-level opportunity to contribute meaningful technical work while broadening exposure across adjacent areas such as deployment, algorithms, and model versioning where relevant.
Techies4Tech validates your skills through real coding samples and interviews. Apply now to stand out to hiring teams.
Log In & Apply