ML Engineer Senior - GenAI Solutions

As a Senior ML Engineer at NTT DATA, you will collaborate with Data Scientists and ML Engineers on advanced machine learning and Generative AI initiatives. You apply hands‑on Generative AI capabilities on Azure/GCP and on‑prem GenAI architectures, and contribute to scalable data pipelines, model development, validation, and deployment. You manage multiple projects, lead ML engineers, and engage with stakeholders to identify business opportunities. This role shapes AI solutions that scale across cross‑functional teams and cloud/on‑prem environments.Retribuzione / Benefits

• Apply hands‑on Generative AI capabilities on cloud and on‑prem GenAI architectures
• Design and create data pipelines from experiments to production
• Contribute to model development, validation, and deployment
• Establish scalable, automated processes for large‑scale data analysis
• Manage multiple projects and lead ML Engineers
• Engage with stakeholders to identify business opportunities
• Collaborate with cross‑functional teams to deliver AI solutions

• 5+ years of production experience in Data Science or Software Engineering
• Strong background in maths, probability, statistics, and algorithms
• 6–12 months of Generative AI deployment experience
• Knowledge of Vector Databases is a plus
• Understanding of data structures and software architecture
• Proficiency in at least two mainstream languages (Python, Scala, Java, C++)
• Experience building infrastructure for data scientists/ML practitioners
• Knowledge of Spark and Databricks is a strong plus
• Experience deploying ML solutions on cloud platforms and cross‑cloud environments; Snowflake knowledge is a plus
• Deep knowledge of ML frameworks (Keras or PyTorch)
• Ability to design and implement production ML pipelines
• Experience with CI/CD, containerization, and MLops/Re‑Training/Drift Management
• Ability to train junior team members
• Willingness to collaborate with internal teams and clients