ML Engineer Senior - GenAI Solutions

NTT DATA Europe & Latam is seeking a Senior Machine Learning Engineer to collaborate with seasoned data scientists and ML engineers on advanced ML and Generative AI initiatives across cloud and on-prem environments. You will build scalable data pipelines, deploy ML models, lead a team of ML engineers, and partner with stakeholders to identify opportunities and deliver impactful solutions.

This role offers exposure to cutting-edge frameworks (PyTorch, Keras) and modern MLOps practices, with

Apply hands-on Generative AI capabilities on Azure/GCP and on-prem GenAI architectures. Leverage a strong mathematical background for modeling and evaluation. Work on classification, information retrieval, clustering and optimization tasks. Establish scalable, automated processes for large-scale data analysis. Contribute to model development, validation and deployment. Identify business opportunities and translate them into ML solutions. Design and create data pipelines from experiments to production. Manage multiple projects and coordinate with stakeholders. Lead ML Engineers and mentor the team. Connect with internal and external clients to deliver impact. At least 5 years of production experience in Data Science or Software Engineering. Strong math, probability, statistics and algorithms background. 6–12 months in Generative AI deployment and architecture handling. Vector DB knowledge is a plus. Solid data structures, data modeling and software architecture understanding. Fluent in two mainstream languages (Python, Scala, Java, C++). Experience building infrastructure for DS/ML users. Strong Spark/Databricks knowledge. Experience with cloud and cross-cloud environments; Snowflake is a plus. Deep ML frameworks knowledge (Keras / PyTorch). Designing production ML pipelines; CI/CD, containerization, MLops. Ability to mentor junior team members. Strong stakeholder engagement. Global projects Professional growth Networking opportunities